Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover product is one of the prevailing datasets for global monitoring, but cloud obscuration leads to discontinuity ground coverage information in spatial and temporal. To solve this problem, a novel spatial-temporal missing reconstruction model based on U-Net with partial convolutions (PU-Net) proposed recover gaps MODIS Normalized Dif...

“Snow gone” (SGN) stage is one of the critical variables that describe the start of the official forest fire season in the Canadian Province of Alberta. In this paper, our objective is to evaluate the potential of MODIS-based indices for determining the SGN stage. Those included: (i) enhanced vegetation index (EVI), (ii) normalized difference water index (NDWI) using the shortwave infrared (SWI...

snow cover area is one of the most important criteria to calculate snow melt runoff. this can have an effect on the biology of the plant and the environment of a region. using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. most of the useful methods in calculating snow cover area are based on satellite i...

The article presents the analysis of widespread spectral indexes results Earth remote sensing data thematic processing to reveal most representative one for applying under conditions critical increase groundwater level and salinity as well salinized soil. Long-term monitoring multispectral images LandSat-8 satellite were collected Golodnostepsky irrigation land. Sites with disturbing ameliorati...

Global warming has accelerated climate and weather changes, impacting the regional water cycle. This study assesses temporal trends of seasonal annual runoff in Chitral River Basin (CRB) its responses to climatic factors (i.e., temperature, precipitation, Normalized Difference Vegetation Index (NDVI)) oceanic indices at large scales El Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD)...

Global snow cover forms the largest and most transient part of cryosphere in terms area. On local regional scale, small changes can have drastic effects such as floods droughts, on global scale is planetary albedo. Daily imagery basis long-term observation analysis, only optical sensors offer necessary spatial temporal resolution to address decadal developments impact climate change availabilit...

Abstract In precision agriculture, it is possible to use satellite monitoring of fields. Satellite systems allow you get free images with a resolution up 10 m per pixel, which sufficient determine the state vegetation plants on such indicators as normalized index NDVI. However, NDVI indicator already indicates existing problems correction will not help restore lost yield crops, but only helps p...

Abstract. Snow cover is one of the most active elements cryosphere and plays an important role in surface radiation budget water balance. Optical satellite remote sensing has become tool for snow identification monitoring. The Sentinel-2 A/B data source extraction because its high resolution, which reduces problem snow/ice saturation observations. normalized differential index (NDSI) considerin...

Abstract Early prediction of crop production by remote sensing (RS) may help to plan the harvest and ensure food security. This study aims improve quantification yield, grain protein concentration (GPC), nitrogen (N) output in winter wheat with RS imagery. Ground-truth traits were measured at flowering a field experiment combining four N two water levels central Spain over 2 years. Hyperspectra...

With its unrivaled and global land monitoring capability, the Sentinel-1 mission has been established as a prime provider in SAR-based flood mapping. Compared to suitable single-image algorithms, change-detection methods offer better robustness, retrieving extent from classification of observed changes. This requires data-based parametrization. Moreover, scope automatic services, employed algor...