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Selection: with tag remote-sensing [115 articles] 


The significance of land cover delineation on soil erosion assessment

Environmental Management (2018), pp. 1-20,


The study aims to evaluate the significance of land cover delineation on soil erosion assessment. To that end, RUSLE (Revised Universal Soil Loss Equation) was implemented at the Upper Acheloos River catchment, Western Central Greece, annually and multi-annually for the period 1965–92. The model estimates soil erosion as the linear product of six factors (R, K, LS, C, and P) considering the catchment’s climatic, pedological, topographic, land cover, and anthropogenic characteristics, respectively. The C factor was estimated using six alternative land ...


Global MODIS fraction of green vegetation cover for monitoring abrupt and gradual vegetation changes

Remote Sensing, Vol. 10, No. 4. (23 April 2018), 653,


The presence and distribution of green vegetation cover in the biosphere are of paramount importance in investigating cause-effect phenomena at the land/atmosphere interface, estimating primary production rates as part of global carbon and water cycle assessments and evaluating soil protection and land use change over time. The fraction of green vegetation cover (FCover) as estimated from satellite observations has already been demonstrated to be an extraordinarily useful product for understanding vegetation cover changes, for supporting ecosystem service assessments over areas with ...


Slavery from Space: demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8

ISPRS Journal of Photogrammetry and Remote Sensing (March 2018),


The most recent Global Slavery Index estimates that there are 40.3 million people enslaved globally. The UN’s Agenda 2030 for Sustainable Development Goal number 8, section 8.7 specifically refers to the issue of forced labour: ending modern slavery and human trafficking, including child labour, in all forms by 2025. Although there is a global political commitment to ending slavery, one of the biggest barriers to doing so is having reliable and timely, spatially explicit and scalable data on slavery activity. The ...


Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa

International Health, Vol. 7, No. 2. (March 2015), pp. 99-106,


[Background] Previous analyses have shown the individual correlations between poverty, health and satellite-derived vegetation indices such as the normalized difference vegetation index (NDVI). However, generally these analyses did not explore the statistical interconnections between poverty, health outcomes and NDVI. [Methods] In this research aspatial methods (principal component analysis) and spatial models (variography, factorial kriging and cokriging) were applied to investigate the correlations and spatial relationships between intensity of poverty, health (expressed as child mortality and undernutrition), and NDVI for a large area of West ...


SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(10 Oct 2016)


We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder network, a corresponding decoder network followed by a pixel-wise classification layer. The architecture of the encoder network is topologically identical to the 13 convolutional layers in the VGG16 network. The role of the decoder network is to map the low resolution encoder feature maps to full input resolution feature maps for pixel-wise classification. The novelty of SegNet lies is in the ...


Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification

Pattern Recognition, Vol. 61 (4 Feb 2016), pp. 539-556,


We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were trained: full training, fine tuning, and using ConvNets as feature extractors. In many applications, especially including remote sensing, it is not feasible to fully design and train a new ConvNet, as this usually requires a considerable amount of labeled data and demands high computational costs. Therefore, it is important to understand how to obtain the best profit from existing ConvNets. We perform ...


Deep learning in remote sensing: a review

IEEE Geoscience and Remote Sensing Magazine, Vol. 5, No. 4. (11 Oct 2017), pp. 8-36,


Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields. Shall we embrace deep learning as the key to all? Or, should we resist a 'black-box' solution? There are controversial opinions in the remote sensing community. In this article, we analyze the challenges of using deep learning for remote sensing data analysis, review the recent advances, and provide resources to make deep ...


Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data

Proceedings of the National Academy of Sciences (22 January 2018), 201704665,


[Significance] We increasingly rely on global models to project impacts of humans and climate on water resources. How reliable are these models? While past model intercomparison projects focused on water fluxes, we provide here the first comprehensive comparison of land total water storage trends from seven global models to trends from Gravity Recovery and Climate Experiment (GRACE) satellites, which have been likened to giant weighing scales in the sky. The models underestimate the large decadal (2002–2014) trends in water storage relative to ...


Unravelling the response of diurnal raptors to land use change in a highly dynamic landscape in northwestern Spain: an approach based on satellite earth observation data

European Journal of Wildlife Research, Vol. 63, No. 2. (2017), pp. 1-15,


Land use and land cover change (LULCC) is one of the main components of current anthropogenic global change. Unravelling the ecological response of biodiversity to the combined effect of land use change and other stressors is essential for effective conservation. For this purpose, we used co-inertia analysis to combine LULCC analysis of earth observation satellite data-derived maps and raptor data obtained from road censuses conducted in 2001 and 2014 at sampling unit level (10 km2 spatial resolution), in northwestern Spain (province ...


A new fully gap-free time series of land surface temperature from MODIS LST data

Remote Sensing, Vol. 9, No. 12. (20 December 2017), 1333,


Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. We present a novel method to fully reconstruct MODIS daily LST products for central Europe at 1 km resolution and globally, at 3 arc-min. We combined temporal and spatial interpolation, using emissivity and elevation as covariates ...


Scaling up the diversity-resilience relationship with trait databases and remote sensing data: the recovery of productivity after wildfire

Global Change Biology, Vol. 22, No. 4. (April 2016), pp. 1421-1432,


Understanding the mechanisms underlying ecosystem resilience – why some systems have an irreversible response to disturbances while others recover – is critical for conserving biodiversity and ecosystem function in the face of global change. Despite the widespread acceptance of a positive relationship between biodiversity and resilience, empirical evidence for this relationship remains fairly limited in scope and localized in scale. Assessing resilience at the large landscape and regional scales most relevant to land management and conservation practices has been limited by ...


Retrieval of forest fuel moisture content using a coupled radiative transfer model

Environmental Modelling & Software, Vol. 95 (September 2017), pp. 290-302,


Forest fuel moisture content (FMC) dynamics are paramount to assessing the forest wildfire risk and its behavior. This variable can be retrieved from remotely sensed data using a radiative transfer model (RTM). However, previous studies generally treated the background of forest canopy as soil surface while ignored the fact that the soil may be covered by grass canopy. In this study, we focused on retrieving FMC of such forestry structure by coupling two RTMs: PROSAIL and PRO-GeoSail. The spectra of lower ...


Influence of tree species on continental differences in boreal fires and climate feedbacks

Nature Geoscience, Vol. 8, No. 3. (2 February 2015), pp. 228-234,


Wildfires are common in boreal forests around the globe and strongly influence ecosystem processes. However, North American forests support more high-intensity crown fires than Eurasia, where lower-intensity surface fires are common. These two types of fire can result in different net effects on climate as a consequence of their contrasting impacts on terrestrial albedo and carbon stocks. Here we use remote-sensing imagery, climate reanalysis data and forest inventories to evaluate differences in boreal fire dynamics between North America and Eurasia and ...


Combining multiple classifiers: an application using spatial and remotely sensed information for land cover type mapping

Remote Sensing of Environment, Vol. 74, No. 3. (December 2000), pp. 545-556,


This article discusses two new methods for increasing the accuracy of classifiers used land cover mapping. The first method, called the product rule, is a simple and general method of combining two or more classification rules as a single rule. Stacked regression methods of combining classification rules are discussed and compared to the product rule. The second method of increasing classifier accuracy is a simple nonparametric classifier that uses spatial information for classification. Two data sets used for land cover mapping ...


Satellites reveal contrasting responses of regional climate to the widespread greening of Earth

Science (25 May 2017), eaal1727,


[The vegetation-climate loop] Just as terrestrial plant biomass is growing in response to increasing atmospheric CO2, climate change, and other anthropogenic influences, so is climate affected by those variations in vegetation. Forzieri et al. used satellite observations to analyze how changes in leaf area index (LAI), a measure of vegetation density, have influenced the terrestrial energy balance and local climates over the past several decades. An increase in LAI has helped to warm boreal zones through a reduction of surface albedo and ...


Remote sensing monitoring of land restoration interventions in semi-arid environments with a before–after control-impact statistical design

International Journal of Applied Earth Observation and Geoinformation, Vol. 59 (July 2017), pp. 42-52,


[Highlights] [::] A rapid, standardised and objective assessment of the biophysical impact of restoration interventions is proposed. [::] The intervention impact is evaluated by a before–after control-impact sampling design. [::] The method provides a statistical test of the no-change hypothesis and the estimation of the relative magnitude of the change. [::] The method is applicable to NDVI and other remote sensing-derived variables. [Abstract] Restoration interventions to combat land degradation are carried out in arid and semi-arid areas to improve vegetation cover and land productivity. Evaluating the success ...


Linking plant strategies and plant traits derived by radiative transfer modelling

Journal of Vegetation Science (12 April 2017),


[Question] Do spatial gradients of plant strategies correspond to patterns of plant traits obtained from a physically based model and hyperspectral imagery? It has previously been shown that reflectance can be used to map plant strategies according to the established CSR scheme. So far, these approaches have been based on empirical links and lacked transferability. Therefore, we test if physically based derivations of plant traits may help in finding gradients in traits that are linked to strategies. [Location] A raised bog and minerotrophic fen ...


Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4)

Journal of Geophysical Research: Biogeosciences, Vol. 118, No. 1. (2013), pp. 317-328,


We describe the fourth generation of the Global Fire Emissions Database (GFED4) burned area data set, which provides global monthly burned area at 0.25°  spatial resolution from mid-1995 through the present and daily burned area for the time series extending back to August 2000. We produced the full data set by combining 500 m MODIS burned area maps with active fire data from the Tropical Rainfall Measuring Mission (TRMM) Visible and Infrared Scanner (VIRS) and the Along-Track Scanning Radiometer (ATSR) family of ...


Anthropogenic effects on global mean fire size

International Journal of Wildland Fire, Vol. 24, No. 5. (2015), 589,


Wildland fires are an important agent in the earth’s system. Multiple efforts are currently in progress to better represent wildland fires in earth system models. Although wildland fires are a natural disturbance factor, humans have an important effect on fire occurrence by directly igniting and suppressing fires and indirectly influencing fire behaviour by changing land cover and landscape structure. Although these factors are recognised, their quantitative effect on fire growth and burned area are not well understood and therefore only partly ...


A radiative transfer model-based method for the estimation of grassland aboveground biomass

International Journal of Applied Earth Observation and Geoinformation, Vol. 54 (February 2017), pp. 159-168,


[Highlights] [::] The PROSAILH radiative transfer model was presented to estimate grassland AGB. [::] The ill-posed inversion problem was alleviated by using the ecological criteria. [::] Multi-source satellite products were used to filter the unrealistic combinations of retrieved free parameters. [::] Three empirical methods were also used to estimate the grassland AGB. [Abstract] This paper presents a novel method to derive grassland aboveground biomass (AGB) based on the PROSAILH (PROSPECT + SAILH) radiative transfer model (RTM). Two variables, leaf area index (LAI, m2m−2, defined as a one-side ...


Remotely sensed Live Fuel Moisture retrieval using Radiative Transfer Models



La presente tesis doctoral ha tenido como objetivo principal el estimar el contenido de humedad de la vegetación viva (LFMC) en el contexto de la evaluación del riesgo de incendio. El área de estudio ha sido la comprendida por la región Mediterránea y Eurosiberiana, ambas localizadas en el territorio peninsular español. La teledetección espacial es una herramienta útil y prometedora para estimar parámetros biofísicos. Por lo tanto, las imágenes de satélite procedentes del programa MODIS (MODerate-resolution Imaging Spectroradiometer) a 500m ...


Global trends in satellite-based emergency mapping

Science, Vol. 353, No. 6296. (14 July 2016), pp. 247-252,


Over the past 15 years, scientists and disaster responders have increasingly used satellite-based Earth observations for global rapid assessment of disaster situations. We review global trends in satellite rapid response and emergency mapping from 2000 to 2014, analyzing more than 1000 incidents in which satellite monitoring was used for assessing major disaster situations. We provide a synthesis of spatial patterns and temporal trends in global satellite emergency mapping efforts and show that satellite-based emergency mapping is most intensively deployed in Asia ...


Analysis of the energetic flows through the SEBAL application to the assessment of the actual evapotranspiration in a Napa Valley vineyard California (USA)

In Clima e agricoltura: strategie di adattamento e mitigazione, Vol. 12 (June 2009), 56


The use of water resources is constantly growing in agriculture industry and the reduction of the this resource is due by both anthropogenic and climate factors. Under this perspective it is necessary to develop monitoring systems able to forecast the consumption of water. The knowledge of the actual water demand of a crop is therefore strategic for the rational use of resources and to improve the quality of the crop production. Recent applications of remote sensing in agriculture provide a valuable contribution to release this purpose, besides the integration of remotely sensed ...


Estimation of live fuel moisture content from MODIS images for fire danger assessment in Southern Gran Chaco

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2016), pp. 1-11,


Moisture content of live fuels (LFMC) is one of the main factors determining fuel flammability and, therefore, a key indicator of fire danger. In this study, we modeled the relationship between spectral indices derived from satellite imagery and field estimations of LFMC in the Chaco Serrano subregion; then, we analyzed the relationship between fire danger estimations based on LFMC calculations and fire activity. Empirical LFMC models fitted for grasslands, Chaco Serrano forests, and glossy privet forests may be considered very accurate ...


Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling

Remote Sensing of Environment, Vol. 86, No. 2. (30 July 2003), pp. 177-186,


Methods for using airborne laser scanning (also called airborne LIDAR) to retrieve forest parameters that are critical for fire behavior modeling are presented. A model for the automatic extraction of forest information is demonstrated to provide spatial coverage of the study area, making it possible to produce 3-D inputs to improve fire behavior models. [\n] The Toposys I airborne laser system recorded the last return of each footprint (0.30–0.38 m) over a 2000 m by 190 m flight line. Raw data ...


Development of a framework for fire risk assessment using remote sensing and geographic information system technologies

Ecological Modelling, Vol. 221, No. 1. (10 January 2010), pp. 46-58,


Forest fires play a critical role in landscape transformation, vegetation succession, soil degradation and air quality. Improvements in fire risk estimation are vital to reduce the negative impacts of fire, either by lessen burn severity or intensity through fuel management, or by aiding the natural vegetation recovery using post-fire treatments. This paper presents the methods to generate the input variables and the risk integration developed within the Firemap project (funded under the Spanish Ministry of Science and Technology) to map wildland ...


Advances in remote sensing and GIS applications in support of forest fire management

International Journal of Wildland Fire, Vol. 23, No. 5. (2014), 603,


[Excerpt: Introduction] In recent years, the importance of wildfires as a natural or a human-induced phenomenon has gained recognition not only at local but also at regional and global levels. Improved remote sensing and computational capabilities enable the rapid processing of large image datasets in near-real time. As a result, remote sensing and geographic information systems are becoming common tools for fire monitoring at local, regional and global levels [...]. [\n] Wildland fires, a hot topic of research since the early days of ...


A global review of remote sensing of live fuel moisture content for fire danger assessment: moving towards operational products

Remote Sensing of Environment, Vol. 136 (September 2013), pp. 455-468,


[Highlights] [::] We review satellite LFMC products and their operational use for fire assessment. [::] The literature is dominated by statistical and physical model-based methods. [::] Statistical methods are site-specific. [::] The parameterization of physical models is complex. [::] Challenges: quantifying estimation errors and linking LFMC to fire behavior/risk. [Abstract] One of the primary variables affecting ignition and spread of wildfire is fuel moisture content (FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to drought, requiring remote sensing for monitoring of spatial and ...


Wave climate in the Arctic 1992–2014: seasonality and trends

The Cryosphere, Vol. 10, No. 4. (26 July 2016), pp. 1605-1629,


Over the past decade, the diminishing Arctic sea ice has impacted the wave field, which depends on the ice-free ocean and wind. This study characterizes the wave climate in the Arctic spanning 1992–2014 from a merged altimeter data set and a wave hindcast that uses CFSR winds and ice concentrations from satellites as input. The model performs well, verified by the altimeters, and is relatively consistent for climate studies. The wave seasonality and extremes are linked to the ice coverage, wind ...


Regional estimation of woodland moisture content by inverting Radiative Transfer Models

Remote Sensing of Environment, Vol. 132 (May 2013), pp. 59-70,


[Abstract] We inverted the PROSPECT and GEOSAIL Radiative Transfer Models (RTM) using Moderate Resolution Imaging Spectrometer (MODIS) data to retrieve Live Fuel Moisture Content (LFMC) in woodlands located in the peninsular territory of Spain. Ecological rules were used to parameterize the RTM. This approach reduces the probability of an ill-posed problem in the inversion of the selected RTMs, by rejecting unrealistic combinations of input parameters. Three species representatives of each region were used to derive the ecological rules: Quercus ilex L., Quercus ...


Linking ecological information and radiative transfer models to estimate fuel moisture content in the Mediterranean region of Spain: solving the ill-posed inverse problem

Remote Sensing of Environment, Vol. 113, No. 11. (16 November 2009), pp. 2403-2411,


Live fuel moisture content (FMC) is a key factor required to evaluate fire risk and its operative and accurate estimation is essential for allocating pre-fire resources as a part of fire prevention. This paper presents an operative and accurate procedure to estimate FMC though MODIS (moderate resolution imaging spectrometer) data and simulation models. The new aspects of the method are its consideration of several ecological criteria to parameterize the models and consistently avoid simulating unrealistic spectra which might produce indetermination (ill-posed) ...


Estimation of live fuel moisture content from MODIS images for fire risk assessment

Agricultural and Forest Meteorology, Vol. 148, No. 4. (April 2008), pp. 523-536,


This paper presents a method to estimate fuel moisture content (FMC) of Mediterranean vegetation species from satellite images in the context of fire risk assessment. The relationship between satellite images and field collected FMC data was based on two methodologies: empirical relations and statistical models based on simulated reflectances derived from radiative transfer models (RTM). Both models were applied to the same validation data set to compare their performance. FMC of grassland and shrublands were estimated using a 5-year time series ...


Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network

Remote Sensing of Environment, Vol. 121 (June 2012), pp. 323-334,


[Abstract] Surface albedo is a key parameter in the Earth's energy balance since it affects the amount of solar radiation directly absorbed at the planet surface. Its variability in time and space can be globally retrieved through the use of remote sensing products. To evaluate and improve the quality of satellite retrievals, careful intercomparisons with in situ measurements of surface albedo are crucial. For this purpose we compared MODIS albedo retrievals with surface measurements taken at 53 FLUXNET sites that met strict ...


Re-evaluation of MODIS MCD43 Greenland albedo accuracy and trends

Remote Sensing of Environment, Vol. 138 (November 2013), pp. 199-214,
Keywords: accuracy   albedo   greenland   mcd43   modis   remote-sensing  


[Highlights] [::] The MODIS 16-day snow albedo product is in general agreement with Greenland in situ data. [::] Analysis from 2000 to 2012 reveals negative trends leading to enhanced absorption of solar energy. [::] In 2012, albedo anomalies were more than two standard deviations below the 2000–2009 mean. [Abstract] In this study, the accuracy of the MODerate resolution Imaging Spectroradiometer (MODIS) combined Terra (MOD) and Aqua (MYD) 16-day albedo product (MCD43) is evaluated through comparisons with eleven years of in situ measurements at 17 automatic weather ...


Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods

Remote Sensing of Environment, Vol. 140 (January 2014), pp. 60-77,


[Highlights] [::] We evaluated the MCD43A Albedo during dormant and snow covered period. [::] Spatial representativeness analysis is necessary for the albedo evaluation. [::] MODIS albedo performs well during vegetation dormancy and snow cover. [Abstract] This study assesses the Moderate-resolution Imaging Spectroradiometer (MODIS) BRDF/albedo 8 day standard product and products from the daily Direct Broadcast BRDF/albedo algorithm, and shows that these products agree well with ground-based albedo measurements during the more difficult periods of vegetation dormancy and snow cover. Cropland, grassland, deciduous and coniferous forests are ...


Testing estimation of water surface in Italian rice district from MODIS satellite data

International Journal of Applied Earth Observation and Geoinformation, Vol. 52 (October 2016), pp. 284-295,


[Highlights] [::] Landsat 8 is a valid data set to recognise flooded rice parcels. [::] MODIS data can be used to estimate flooding fraction (FF) at 1 × 1 km resolution. [::] MODIS NDVI can be used to mask unreliable FF predictions. [::] Spatio-temporal dynamics of water management within Italian rice district are clearly depictable from FF maps. [Abstract] Recent changes in rice crop management within Northern Italy rice district led to a reduction of seeding in flooding condition, which may have an impact on reservoir water ...


Site-based and remote sensing methods for monitoring indicators of vegetation condition: an Australian review

Ecological Indicators, Vol. 60 (January 2016), pp. 1273-1283,


We review attributes and methods of vegetation condition monitoring within Australia. Site-based and remote sensing approaches both offer important information about vegetation condition. Integration of the two approaches opens up new avenues for monitoring vegetation condition across a range of scales. Consequently we recommend a number of key areas for future research in order to improve vegetation condition assessment for the purposes of evidence-based decision making. Native vegetation around the world is under threat from historical and ongoing clearance, overgrazing, invasive ...


Calibration of remotely sensed proportion or area estimates for misclassification error

Remote Sensing of Environment, Vol. 39, No. 1. (January 1992), pp. 29-43,


Classifications of remotely sensed data contain misclassification errors that bias areal estimates. Monte Carlo techniques were used to compare two statistical methods that correct or calibrate remotely sensed areal estimates for misclassification bias using reference data from an error matrix. The inverse calibration estimator was consistently superior to the classical estimator using a simple random sample of reference plots. The effects of sample size of reference plots, detail of the classification system, and classification accuracy on the precision of the inverse ...


An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature

Remote Sensing, Vol. 6, No. 9. (16 September 2014), pp. 8639-8670,


The monitoring and prediction of biodiversity and environmental changes is constrained by the availability of accurate and spatially contiguous climatic variables at fine temporal and spatial grains. In this study, we evaluate best practices for generating gridded, one-kilometer resolution, daily maximum air temperature surfaces in a regional context, the state of Oregon, USA. Covariates used in the interpolation include remote sensing derived elevation, aspect, canopy height, percent forest cover and MODIS Land Surface Temperature (LST). Because of missing values, ...


Humans on Earth: global extents of anthropogenic land cover from remote sensing



This review provides a perspective of the current state of the art in remote sensing of anthropogenic land cover and human-modified landscapes at global scales. The fact that humans have adapted to almost all of Earth’s environments, yet remain strongly clustered within each of these environments influences both the nature of anthropogenic impact on Earth’s landscapes and the challenges of mapping it. Remote sensing provides a consistent synoptic view of these environments by mapping the land cover associated with the anthropogenic ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 34

(February 2014)
Keywords: inrmm-list-of-tags   record-to-update-or-delete   recreation   red-list   redd   redistributable-scientific-information   reference-manual   reforestation   refugia   regeneration   regime-shift   regional-climate   regional-climate-models   regional-scale   regression   regression-tree-analysis   regulating-services   reinforcement   reinforcement-learning   reinventing-weels   reiteration   relative-distance-similarity   relative-distance-similarity-ancillary   remote-sensing   renewable-energy   renewable-energy-directive   repeatability   repellent-species   replicability   reporting   representative-concentration-pathways   reproducibility   reproducible-research   reproduction   reproductive-effort   reptiles   resampling   research-funding   research-funding-vs-public-outcome   research-management   research-metrics   research-team-size   reservoir-management   reservoir-services   resilience   resilience-vs-resistance   resilience-vs-risk-management   resin   resistance   resources-exploitation   respiration   restoration   resurvey-of-semi-permanent   retraction   review   review-publication   review-scopus-european-biodiversity-indicators   revision-control-system   rewarding-best-research-practices   rhamnus-cathartica   rhamnus-catharticus   rhamnus-frangula   rhamnus-imeretina   rhamnus-saxatilis   rhamnus-spp   rhizophagus-grandis   rhizophora-apiculata   rhizophora-mangle   rhododendron-arboreum   rhododendron-caucasicum   rhododendron-ferrugineum   rhododendron-periclymenoides   rhododendron-ponticum   rhododendron-smirnowii   rhododendron-spp   rhododendron-ungernii   rhododendron-viscosum   rhopalicus-tutela   rhus-spp   rhus-typhina   rhyacionia-bouliana   rhyacionia-buoliana   rhyacionia-frustrana   rhynchophorus-ferrugineus   rhyssa-persuasoria   rhytisma   ribes-alpinum   ribes-rubrum   ribes-uva-crispa   rice   ring-analysis   ring-width-chronologies   ringspot-virus   riparian-ecosystem   riparian-forest   riparian-zones   risk-analysis   risk-assessment   risk-management   risk-reduction  


List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( ). ...


Killer landslides: the lasting legacy of Nepal's quake

Nature, Vol. 532, No. 7600. (25 April 2016), pp. 428-431,


A year after a devastating earthquake triggered killer avalanches and rock falls in Nepal, scientists are wiring up mountainsides to forecast hazards. [Excerpt] [...] “It’s a real problem for reconstruction,” says Tara Nidhi Bhattarai, a geologist at Tribhuvan University in Kathmandu and chief scientist of Nepal’s National Reconstruction Authority — an agency established last year to manage the recovery efforts. “What are the safe places to rebuild, in a landscape that is evolving?” [\n] To answer that, geoscientists are wiring up the mountains ...


Accuracy assessment of a remote sensing-based, pan-European forest cover map using multi-country national forest inventory data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 1. (February 2013), pp. 54-65,


A pan-European forest cover map (FMAP2006) was produced using a novel automated classification approach using remotely sensed data from fine resolution satellite instruments. In contrast to previous classification accuracy assessments of such continental scale land cover products, the current study aimed for a reliable assessment at different geographical levels: pan-European, regional and local level. A unique data set consisting of detailed field inventory plots was provided via a collaboration with the national forest inventories (NFIs) in Europe. Close to 900,000 field ...


An integrated pan-tropical biomass map using multiple reference datasets

Global Change Biology, Vol. 22, No. 4. (April 2016), pp. 1406-1420,


We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns ...


Satellite observations of high northern latitude vegetation productivity changes between 1982 and 2008: ecological variability and regional differences

Environmental Research Letters, Vol. 6 (2011), 045501,


To assess ongoing changes in high latitude vegetation productivity we compared spatiotemporal patterns in remotely sensed vegetation productivity in the tundra and boreal zones of North America and Eurasia. We compared the long-term GIMMS (Global Inventory Modeling and Mapping Studies) NDVI (Normalized Difference Vegetation Index) to the more recent and advanced MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI data set, and mapped circumpolar trends in a gross productivity metric derived from the former. We then analyzed how temporal changes in productivity differed ...


Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR

Remote Sensing of Environment, Vol. 168 (October 2015), pp. 316-334,


[Highlights] [::] Wall-to-wall estimates of forest growing stock volume (GSV) north of 10°N [::] Spatial distribution of GSV well reproduced in four biomes [::] Percent error of ASAR-derived GSV averages at provincial level: between 12% and 45%. [::] Underestimation for areas with GSV > 300 m3/ha and in fragmented forest landscapes [Abstract] This paper presents and assesses spatially explicit estimates of forest growing stock volume (GSV) of the northern hemisphere (north of 10°N) from hyper-temporal observations of Envisat Advanced Synthetic Aperture Radar (ASAR) backscattered intensity using the ...


The structure, distribution, and biomass of the world's forests

Annual Review of Ecology, Evolution, and Systematics, Vol. 44, No. 1. (2013), pp. 593-622,


Forests are the dominant terrestrial ecosystem on Earth. We review the environmental factors controlling their structure and global distribution and evaluate their current and future trajectory. Adaptations of trees to climate and resource gradients, coupled with disturbances and forest dynamics, create complex geographical patterns in forest assemblages and structures. These patterns are increasingly discernible through new satellite and airborne observation systems, improved forest inventories, and global ecosystem models. Forest biomass is a complex property affected by forest distribution, structure, and ecological ...


Challenges and opportunities in harnessing satellite remote-sensing for biodiversity monitoring

Ecological Informatics (September 2015),


Monitoring biodiversity changes have become a major concern for governmental agencies. Remote-sensing can deliver very high resolution (VHR) data on habitats. We describe the challenges to be faced when using such data. We further propose VHR baseline conditions to improve future monitoring. The ability of remote-sensing technologies to rapidly deliver data on habitat quantity (e.g., amount, configuration) and quality (e.g., structure, distribution of individual plant species, habitat types and/or communities, persistence) across a range of spatial resolutions and temporal frequencies ...


Soil erosion assessment and its verification using the Universal Soil Loss Equation and geographic information system: a case study at Boun, Korea

In Environmental Geology, Vol. 45, No. 4. (2004), pp. 457-465,


This study is aimed at the evaluation of the hazard of soil erosion and its verification at Boun, Korea, using a Geographic Information System (GIS) and remote sensing. Precipitation, topographic, soil, and land use data were collected, processed, and constructed into a spatial database using GIS and remote sensing data. Areas that had suffered soil erosion were analysed and mapped using the Universal Soil Loss Equation (USLE). The factors that influence soil erosion are rainfall erosivitiy (R) from the precipitation database, ...


Using LiDAR technology in forestry activities

Environmental Monitoring and Assessment In Environmental Monitoring and Assessment, Vol. 151, No. 1-4. (2009), pp. 117-125,


Managing natural resources in wide-scale areas can be highly time and resource consuming task which requires significant amount of data collection in the field and reduction of the data in the office to provide the necessary information. High performance LiDAR remote sensing technology has recently become an effective tool for use in applications of natural resources. In the field of forestry, the LiDAR measurements of the forested areas can provide high-quality data on three-dimensional characterizations of forest structures. Besides, LiDAR data ...

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