Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI

J Wang, J Ding, D Yu, D Teng, B He, X Chen… - Science of the Total …, 2020 - Elsevier
Accurate assessment of soil salinization is considered as one of the most important steps in
combating global climate change, especially in arid and semi-arid regions. Multi-spectral …

Development of the triangle method for drought studies based on remote sensing images: A review

ASA Nugraha, M Kamal, SH Murti… - … Applications: Society and …, 2023 - Elsevier
Map** and monitoring drought supports climate change adaptation of resilient
ecosystems. The temporal and spatial scale aspects of drought can be efficiently mapped …

Eco-environmental quality assessment based on pressure-state-response framework by remote sensing and GIS

MS Boori, K Choudhary, R Paringer… - … applications: Society and …, 2021 - Elsevier
Ecological environment quality assessment (EEQ) is an important parameter for sustainable
development and sometimes it's more valuable during industrialization and urbanization …

A comprehensive drought monitoring method integrating MODIS and TRMM data

L Du, Q Tian, T Yu, Q Meng, T Jancso… - International Journal of …, 2013 - Elsevier
Drought is a complex hazard caused by the breaking of water balance and it has always an
impact on agricultural, ecological and socio-economic spheres. Although the drought …

Land surface temperature and emissivity estimation for Urban Heat Island assessment using medium-and low-resolution space-borne sensors: A review

AA Mohamed, J Odindi, O Mutanga - Geocarto international, 2017 - Taylor & Francis
Abstract The Urban Heat Island (UHI) phenomenon, a typical characteristic on urban
landscapes, has been recognised as a key driver to the transformation of local climate …

Detection of early plant stress responses in hyperspectral images

J Behmann, J Steinrücken, L Plümer - ISPRS Journal of Photogrammetry …, 2014 - Elsevier
Early stress detection in crop plants is highly relevant, but hard to achieve. We hypothesize
that close range hyperspectral imaging is able to uncover stress related processes non …

A practical method for reducing terrain effect on land surface temperature using random forest regression

W Zhao, SB Duan, A Li, G Yin - Remote sensing of environment, 2019 - Elsevier
Land surface temperature (LST) plays a key role in connecting land surface energy and
water exchanges with near-surface atmosphere. However, the spatial distribution of LST …

[HTML][HTML] Identifying the spatio-temporal pattern of drought characteristics and its constraint factors in the Yellow River Basin

Y Gao, S Fu, H Cui, Q Cao, Z Wang, Z Zhang, Q Wu… - Ecological …, 2023 - Elsevier
Abstract The Yellow River Basin (YRB) constitutes an important grain-producing area, as
well as an economic core area in China. However, drought and water shortage have always …

An attention mechanism based convolutional network for satellite precipitation downscaling over China

Y **g, L Lin, X Li, T Li, H Shen - Journal of Hydrology, 2022 - Elsevier
Precipitation is a key part of hydrological circulation and is a sensitive indicator of climate
change. The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement …

Assessing the effects of land use spatial structure on urban heat islands using HJ-1B remote sensing imagery in Wuhan, China

H Wu, LP Ye, WZ Shi, KC Clarke - … Journal of Applied Earth Observation and …, 2014 - Elsevier
Urban heat islands (UHIs) have attracted attention around the world because they
profoundly affect biological diversity and human life. Assessing the effects of the spatial …