Time series remote sensing products with both fine spatial and dense temporal resolutions are urgently needed for many earth system studies. The development of small satellite constellations with identical sensors affords novel opportunities to provide such kind of earth observations. In this paper, a new dense time series 30-m image product was proposed respectively based on an 8-day, 16-day a...

This paper aims to develop a global burned area (BA) algorithm for MODIS BRDF-corrected images based on the Random Forest (RF) classifier. Two RF models were generated, including: (1) all MODIS reflective bands; and (2) only the red (R) and near infrared (NIR) bands. Active fire information, vegetation indices and auxiliary variables were taken into account as well. Both RF models were trained ...

A snow-cover mapping method accounting for forests (SnowFrac) is presented. SnowFrac uses spectral unmixing and endmember constraints to estimate the snow-cover fraction of a pixel. The unmixing is based on a linear spectral mixture model, which includes endmembers for snow, conifer, branches of leafless deciduous trees and snow-free ground. Model input consists of a land-cover fraction map and...

a Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong b Faculty of Science and Technology, Engineering Building, Lancaster University, Lancaster LA1 4YR, UK c Faculty of Geosciences, University of Utrecht, Heidelberglaan 2, 3584 CS Utrecht, The Netherlands d School of Geography, Archaeology and Palaeoecology, Queen's University Belfast, BT7...

A set of ERS SAR and optical MODIS-images were classified to land cover and tree species classes. Different methods for pixel and decision based data fusion were tested. Classifications of featuresets were carried out using Bayes rule for minimum error. The results were not very successful, the classification accuracies of land cover classes varied from 43% to 75%, depending on the used feature...

Since 1999, The National Commission for the Knowledge and Use of Biodiversity (CONABIO) contributes to combating Forest Fires in Mexico and Central America, by means of CONABIO ́s program for hot spot detection using remote sensing techniques. Currently the program is using Terra/Aqua-MODIS satellite images between six and eight times a day to detect hot spots which might be considered as possib...

MODIS LAI product has been increasingly important for analyzing the process and productivity of terrestrial ecosystems at global scale. This study was aimed to assess the quality of global MODIS LAI product for applications in regional and even in local scales. To examine the quality of MODIS LAI data, we produced a reference LAI map that was derived by relating the ground-measured LAI to Lands...

Using MODIS data, the present study analyzed spatial distributions and annual variability of Bio-Geochemical concentrations from 2011 to 2020 in Northern Indian Ocean. The observed significant variations parameters such as PAR (Photosynthetically Active Radiation), SST (Sea Surface Temperature), Chlorophyll. Annual composite images MODIS-Aqua derived Chlorophyll & SST, POC were retrieved 2020, ...

Land cover of Finnish Lapland was classified to 16 land cover classes using optical IRS LISS, Spot XS and MODIS satellite images, ancillary GIS data and decision tree classifier. The aim of this study was to test decision tree classifier for land cover classification and study the effects of its parameters to classification result. In the best case, the overall accuracy was about 68% for all 16...