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Selection: with tag remote-sensing [133 articles] 

 

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

  
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 144 (October 2018), pp. 325-340, https://doi.org/10.1016/j.isprsjprs.2018.07.017

Abstract

[Highlights] [::] Demonstrated a paradigm shift in continent-scale 30-m Landsat cropland mapping. [::] Captured spatial extent of very small to very large farms in Australia and China. [::] Applied Random Forest machine learning algorithm on cloud computing platform. [::] Overall accuracies of 30-m cropland products of Australia and China exceeded 94%. [::] Errors of omissions of cropland class were 1.2% for Australia and 20% for China. [::] Product view at: www.croplands.org download at: https://lpdaac.usgs.gov/node/1282. [Abstract] Mapping high resolution (30-m or better) cropland extent over very large areas such as ...

 

Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010 Text with EEA relevance

  
Official Journal of the European Union, Vol. 57, No. L 122. (24 April 2014), pp. 44-66

Abstract

[Excerpt] [\n] [...] [:Article 1: Subject matter] This Regulation establishes Copernicus, the Union Earth observation and monitoring programme, (Copernicus), and lays down the rules for its implementation. [:Article 2: Scope] 1. Copernicus is a civil, user driven programme under civil control, building on the existing national and European capacities, as well as ensuring continuity with the activities achieved under the Global Monitoring for Environment and Security. [\n] 2. Copernicus consists of the following components: [::(a)] a service component ensuring delivery of information in the following ...

 

Global River Widths from Landsat (GRWL) database

  

Abstract

[Excerpt] If you use the GRWL Database in your work, please cite: Allen and Pavelsky (2018) Global Extent of Rivers and Streams. Science. https://doi.org/10.1126/science.aat0636 [\n] Check out the GRWL Database website: http://gaia.geosci.unc.edu/GRWL/ [\n] This long-term repository contains three files: [::1] Simplified GRWL Vector Product: GRWL_summaryStats_V01.01.zip [::2] GRWL Mask (raster): GRWL_mask_V01.01.zip [::3] GRWL Vector Product: GRWL_vector_V01.01.zip [...] ...

 

Global extent of rivers and streams

  
Science, Vol. 361, No. 6402. (10 June 2018), pp. 585-588, https://doi.org/10.1126/science.aat0636

Abstract

[Expanding the role of rivers] The surfaces of rivers and streams are interfaces for a host of chemical exchanges with the atmosphere and biosphere. For instance, carbon dioxide outgassing from rivers is estimated to be equivalent to one-fifth of combined emissions from fossil fuel combustion and cement production. Allen and Pavelsky used satellite imagery to estimate the surface area of rivers and streams (see the Perspective by Palmer and Ruhi). The stunning map that they generated results in an upward revision, by ...

 

Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics

  
Remote Sensing of Environment, Vol. 162 (June 2015), pp. 208-220, https://doi.org/10.1016/j.rse.2015.02.011

Abstract

[Highlights] [::] Forest extent from 8 products was validated using crowdsourced data. [::] The first global 1 km forest cover map (in contrast with tree cover) was elaborated. [::] A hybrid forest map calibrated with FAO FRA data is produced. [::] Both crowdsourced data and result hybrid maps are made publicly available. [Abstract] A number of global and regional maps of forest extent are available, but when compared spatially, there are large areas of disagreement. Moreover, there is currently no global forest map that is consistent with ...

 

The extent of forest in dryland biomes

  
Science, Vol. 356, No. 6338. (12 May 2017), pp. 635-638, https://doi.org/10.1126/science.aam6527

Abstract

[Mapping the world's dry forests] The extent of forest area in dryland habitats, which occupy more than 40% of Earth's land surface, is uncertain compared with that in other biomes. Bastin et al. provide a global estimate of forest extent in drylands, calculated from high-resolution satellite images covering more than 200,000 plots. Forests in drylands are much more extensive than previously reported and cover a total area similar to that of tropical rainforests or boreal forests. This increases estimates of global forest ...

 

Comment on “The extent of forest in dryland biomes”

  
Science, Vol. 358, No. 6362. (26 October 2017), eaao0166, https://doi.org/10.1126/science.aao0166

Abstract

Bastin et al. (Reports, 12 May 2017, p. 635) claim to have discovered 467 million hectares of new dryland forest. We would argue that these additional areas are not completely “new” and that some have been reported before. A second shortcoming is that not all sources of uncertainty are considered; the uncertainty could be much higher than the reported value of 3.5%. ...

 

Response to Comment on “The extent of forest in dryland biomes”

  
Science, Vol. 358, No. 6362. (26 October 2017), eaao2070, https://doi.org/10.1126/science.aao2070

Abstract

Schepaschenko et al. question our findings, claiming that we did not refer to all existing maps and that we did not account for all sources of uncertainty. In our response, we detail our selection criteria for reference maps, which clarify why the work of Schepaschenko et al. was not used, and we explain why our uncertainty assessment is complete and how it was misunderstood by Schepaschenko et al. ...

 

Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

  
International Journal of Digital Earth, Vol. 6, No. 5. (21 September 2013), pp. 427-448, https://doi.org/10.1080/17538947.2013.786146

Abstract

We developed a global, 30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) Tree Cover layer using circa- 2000 and 2005 Landsat images, incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas. Resulting Landsat-based estimates maintained consistency with the MODIS VCF in both epochs (RMSE = 8.6% in 2000 and 11.9% in 2005), but showed improved accuracy in agricultural areas and increased discrimination of small forest patches. Against lidar ...

 

A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data

  
Remote Sensing Letters, Vol. 8, No. 3. (02 December 2016), pp. 244-253, https://doi.org/10.1080/2150704x.2016.1249299

Abstract

Information on land cover and land use at high spatial resolutions is essential for advancing earth system science as well as for environmental monitoring to support decision-making and reporting processes. In view of this, we present the first version of the DFD Land Use and Land Cover Product for Germany, DFD-LULC_DE, for the year 2014, generated from 702 Landsat-7 and Landat-8 scenes at 30 m resolution. The results were derived based on a fully automated preprocessing chain that integrates data acquisition, ...

 

Remote sensing techniques to assess active fire characteristics and post-fire effects

  
International Journal of Wildland Fire, Vol. 15, No. 3. (2006), 319, https://doi.org/10.1071/wf05097

Abstract

Space and airborne sensors have been used to map area burned, assess characteristics of active fires, and characterize post-fire ecological effects. Confusion about fire intensity, fire severity, burn severity, and related terms can result in the potential misuse of the inferred information by land managers and remote sensing practitioners who require unambiguous remote sensing products for fire management. The objective of the present paper is to provide a comprehensive review of current and potential remote sensing methods used to assess fire ...

 

A new European settlement map from optical remotely sensed data

  
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 5. (May 2016), pp. 1978-1992, https://doi.org/10.1109/jstars.2015.2485662

Abstract

An application of a general methodology for processing very high-resolution imagery to produce a European Settlement Map (ESM) in support of policy-makers is presented. The process mapped around 10 million km2 of the European continent. The input image data are satellite SPOT-5/6 pan-sharpened multispectral images of 2.5- and 1.5-m spatial resolution, respectively. This is the first time that remote sensing technology demonstrates capability to produce a continental information layer using 2.5-m input images. Moreover, it is the highest resolution continental map ...

 

Inter-sensor comparison of built-up derived from Landsat, Sentinel-1, Sentinel-2 and SPOT5/SPOT6 over selected cities

  

Abstract

In the last 5 years, several information layers describing human settlements were developed within the Global Human Settlement infrastructure of the Joint Research Centre using Earth Observation data. Each layer was derived from a different satellite (with different various spatial resolutions and radiometric properties) and from images acquired at different time stamps. The next step is to exploit the synergies between the different sensors and possibly integrate the information layers within a single product. To enable those future developments, it is ...

 

Development of new open and free multi-temporal global population grids at 250 m resolution

  
In Proceedings of the 19th AGILE International Conference on Geographic Information Science (2016)

Abstract

Global population grids are increasingly required and used for countless applications in analysis, modeling, and policy-making. However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. [\n] This paper presents the development of improved global multi-temporal population grids, ...

 

Operating procedure for the production of the global human settlement layer from Landsat data of the epochs 1975, 1990, 2000, and 2014

  
Vol. 27741 EN (2016), https://doi.org/10.2788/253582

Abstract

A new global information baseline describing the spatial evolution of the human settlements in the past 40 years is presented. It is the most spatially global detailed data available today dedicated to human settlements, and it shows the greatest temporal depth. The core processing methodology relies on a new supervised classification paradigm based on symbolic machine learning. The information is extracted from Landsat image records organized in four collections corresponding to the epochs 1975, 1990, 2000, and 2014. The experiment reported ...

 

Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics

  
ISPRS International Journal of Geo-Information, Vol. 7, No. 4. (21 April 2018), 157, https://doi.org/10.3390/ijgi7040157

Abstract

This paper describes a general framework alternative to the traditional surveys that are commonly performed to estimate, for statistical purposes, the areal extent of predefined land cover classes across Europe. The framework has been funded by Eurostat and relies on annual land cover mapping and updating from remotely sensed and national GIS-based data followed by area estimation. Map production follows a series of steps, namely data collection, change detection, supervised image classification, rule-based image classification, and map updating/generalization. Land cover area ...

 

Non-supervised method for early forest fire detection and rapid mapping

  
In Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), Vol. 10444 (6 September 2017), 104440R, https://doi.org/10.1117/12.2280714

Abstract

Natural hazards are a challenge for the society. Scientific community efforts have been severely increased assessing tasks about prevention and damage mitigation. The most important points to minimize natural hazard damages are monitoring and prevention. This work focuses particularly on forest fires. This phenomenon depends on small-scale factors and fire behavior is strongly related to the local weather. Forest fire spread forecast is a complex task because of the scale of the phenomena, the input data uncertainty and time constraints in ...

 

A global human settlement layer from optical HR/VHR RS data: concept and first results

  
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 5. (October 2013), pp. 2102-2131, https://doi.org/10.1109/jstars.2013.2271445

Abstract

A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test involved the mapping of 24.3 million km2 of the Earth surface spread in four continents, corresponding to an estimated population of 1.3 billion people in 2010. The resolution of the input image data ranges from 0.5 to 10 meters, collected by a ...

 

The significance of land cover delineation on soil erosion assessment

  
Environmental Management (2018), pp. 1-20, https://doi.org/10.1007/s00267-018-1044-3

Abstract

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, https://doi.org/10.3390/rs10040653

Abstract

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), https://doi.org/10.1016/j.isprsjprs.2018.02.012

Abstract

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, https://doi.org/10.1093/inthealth/ihv005

Abstract

[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)

Abstract

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, https://doi.org/10.1016/j.patcog.2016.07.001

Abstract

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, https://doi.org/10.1109/mgrs.2017.2762307

Abstract

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, https://doi.org/10.1073/pnas.1704665115

Abstract

[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, https://doi.org/10.1007/s10344-017-1097-2

Abstract

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, https://doi.org/10.3390/rs9121333

Abstract

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, https://doi.org/10.1111/gcb.13174

Abstract

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, https://doi.org/10.1016/j.envsoft.2017.06.006

Abstract

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, https://doi.org/10.1038/ngeo2352

Abstract

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, https://doi.org/10.1016/s0034-4257(00)00145-0

Abstract

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, https://doi.org/10.1126/science.aal1727

Abstract

[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, https://doi.org/10.1016/j.jag.2017.02.016

Abstract

[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), https://doi.org/10.1111/jvs.12525

Abstract

[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, https://doi.org/10.1002/jgrg.20042

Abstract

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, https://doi.org/10.1071/wf14208

Abstract

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, https://doi.org/10.1016/j.jag.2016.10.002

Abstract

[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

  
(2012)

Abstract

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, https://doi.org/10.1126/science.aad8728

Abstract

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

Abstract

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, https://doi.org/10.1109/jstars.2016.2575366

Abstract

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, https://doi.org/10.1016/s0034-4257(03)00098-1

Abstract

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, https://doi.org/10.1016/j.ecolmodel.2008.11.017

Abstract

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, https://doi.org/10.1071/wf14117

Abstract

[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, https://doi.org/10.1016/j.rse.2013.05.029

Abstract

[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, https://doi.org/10.5194/tc-10-1605-2016

Abstract

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, https://doi.org/10.1016/j.rse.2013.01.004

Abstract

[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, https://doi.org/10.1016/j.rse.2009.07.001

Abstract

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, https://doi.org/10.1016/j.agrformet.2007.12.005

Abstract

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 ...

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