Results 61 to 70 of about 21,061 (263)

The Aridity Threshold of Soil Organic Carbon Density Along the Climate Aridity Gradient in the Alpine Ecosystem of the Qinghai‐Tibetan Plateau

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic carbon density (SOCD) is a key indicator for evaluating the stability of soil carbon pools, especially in alpine ecosystems that are sensitive to climate change. However, research on the response of SOCD to different aridity gradients is still limited. Therefore, we conducted extensive sampling along different aridity gradients of
Qiao Cui, Zongxing Li, Xufeng Wang, Juan Gui, Baijuan Zhang, Yunying Wang   +5 more
wiley   +1 more source

Critical Analysis of Satellite Data of NSIDC, NOAA NESDIS in Determining the Spatial Distribution of Ice on Lakes

Ekológia (Bratislava), 2018
The process of formation and rotting of ice on lakes is an integral part of the hydrological cycle of many lakes. The conditions of the ice regime significantly influence the ecological system of lakes.
Baklagin Nikolaevich Vyacheslav
doaj   +1 more source

Cropland Suitability–Use Mismatches and Differentiated Zoning Regulation in the North China Plain: Implications for Spatially Optimised and Sustainable Land Use

Land Degradation &Development, EarlyView.
ABSTRACT Cropland distribution is often shaped by historical cultivation patterns rather than natural suitability, leading to mismatches between actual land use and agricultural production potential. However, their extent and spatial characteristics remain insufficiently understood in the North China Plain, one of China's most important grain‐producing
Congjie Cao, Huafu Zhao, Ziwei Wang, Shiqiang Bai, Jiacheng Qian, Xiaoxiao Wang, Tao Wang, Huiqin Han, Zhe Feng   +8 more
wiley   +1 more source

Mapping Soil Salinity Prediction Enhanced by Time‐Series Remote Sensing Features

Land Degradation &Development, EarlyView.
ABSTRACT Gaining timely knowledge of soil salinity's spatiotemporal dynamics is crucial for accurate mapping. Through temporal span comparisons, this study systematically extracts and utilizes time‐series features (TSFs) derived from Sentinel‐2 and Landsat 8 NDVI and SAVI data (2019–2023) to enhance prediction accuracy. Three datasets were constructed:
Wenji Zhu, Binglong Gao, Yongqi Chen, Chao Dong   +3 more
wiley   +1 more source

Integrating Remote Sensing with SCS and ICONA Models for Mapping Land Degradation in Fars Province

علوم آب و خاک, 2022
The objective of the present study was to investigate the performance of some of the extracted information for mapping land degradation using remote sensing and field data in Fras province.
S. Dehghan Farsi, R. Jafari, A.R. Mousavi   +2 more
doaj  

Modi’s Saffron Democracy

Dissent, 2019
<p> In May 2014, Narendra Modi became India’s fourteenth prime minister since independence. Storming to power after a charged electoral campaign, the strongman from Gujarat represented a political earthquake. Under his leadership, the Hindu nationalist Bharatiya Janata Party (BJP) was the first party to win a parliamentary majority since 1984 ...
openaire   +1 more source

Impact of Road Network Development on the Spatiotemporal Soil Erosion in the Three‐River Source Region

Land Degradation &Development, EarlyView.
ABSTRACT As a vital water conservation region in China, the Three River Source Region (TRSR) plays a critical role in safeguarding regional ecological security and ensuring the sustainable utilization of water resources. In this study, the Revised Universal Soil Loss Equation (RUSLE) was employed to quantify soil erosion in the study area across three ...
Fei Liu, Longxi Cao, Lilei Wu, Yunqi Zeng   +3 more
wiley   +1 more source

Probabilistic Snow Cover and Ensemble Streamflow Estimations in the Upper Euphrates Basin

Journal of Hydrology and Hydromechanics, 2019
Predicting snow cover dynamics and relevant streamflow due to snowmelt is a challenging issue in mountainous basins. Spatio-temporal variations of snow extent can be analyzed using probabilistic snow cover maps derived from satellite images within a ...
Şorman A. Arda, Uysal Gökçen, Şensoy Aynur   +2 more
doaj   +1 more source

Analysis of Atmospheric Aerosol Optical Properties in the Northeast Brazilian Atmosphere with Remote Sensing Data from MODIS and CALIOP/CALIPSO Satellites, AERONET Photometers and a Ground-Based Lidar

Atmosphere, 2019
A 12-year analysis, from 2005 to 2016, of atmospheric aerosol optical properties focusing for the first time on Northeast Brazil (NEB) was performed based on four different remote sensing datasets: the Moderate Resolution Imaging Spectroradiometer (MODIS)
Aline M. de Oliveira, Cristina T. Souza, Nara P. M. de Oliveira, Aline K. S. Melo, Fabio J. S. Lopes, Eduardo Landulfo, Hendrik Elbern, Judith J. Hoelzemann   +7 more
doaj   +1 more source

Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique

Land Degradation &Development, EarlyView.
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley   +1 more source