[HTML][HTML] Drought analysis using normalized difference vegetation index and land surface temperature over Niamey region, the southwestern of the Niger between …

MAS Almouctar, Y Wu, F Zhao, C Qin - Journal of Hydrology: Regional …, 2024 - Elsevier
Semi-arid regions are highly susceptible to drought due to their low annual precipitation and
ecological vulnerability to climate change. This study focuses on the Niamey region in …

Drought monitoring using landsat derived indices and Google Earth engine platform: A case study from Al-Lith Watershed, Kingdom of Saudi Arabia

N Ejaz, J Bahrawi, KM Alghamdi, KU Rahman… - Remote Sensing, 2023 - mdpi.com
Precise assessment of drought and its impact on the natural ecosystem is an arduous task in
regions with limited climatic observations due to sparsely distributed in situ stations …

Evaluation of socio-economic drought risk over bundelkhand region of India using analytic hierarchy process (AHP) and geo-spatial techniques

A Kundu, D Dutta, NR Patel, DM Denis… - Journal of the Indian …, 2021 - Springer
The Bundelkhand region situated in the central part of India has a long history of droughts.
Although recurrent drought events in this region are controlled by the climatic variables, its …

Agricultural drought assessment and monitoring using MODIS-based multiple indices: the case of North Wollo, Ethiopia

SB Wassie, DA Mengistu, AB Birlie - Environmental Monitoring and …, 2022 - Springer
Agriculture is the most sensitive sector which has largely been affected by the impacts of
drought. The study aims to detect and characterize agricultural droughts using MODIS …

Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods

A Kundu, NR Patel, SK Saha, D Dutta - Natural Hazards, 2017 - Springer
Owing to its impact on global ecosystem, climate change and related effects is being
perceived as a serious issue worldwide especially in the arid and semi-arid regions …

Probability assessment of vegetation vulnerability to drought based on remote sensing data

EH Alamdarloo, MB Manesh, H Khosravi - Environmental monitoring and …, 2018 - Springer
Drought is one of the important factors causing vegetation degradation. Determination of
areas with vegetation more sensitive to drought can be effective in drought risk …

Vehicle detection in high resolution satellite remote sensing images based on deep learning

Q Tan, J Ling, J Hu, X Qin, J Hu - IEEE Access, 2020 - ieeexplore.ieee.org
With the exponential growth of the number of vehicles, a series of traffic system problems
continue to emerge. Vehicle detection plays an important role in the traffic system …

Vegetation vulnerability to hydrometeorological stresses in water-scarce areas using machine learning and remote sensing techniques

E Moradi, H Darabi, EH Alamdarloo, M Karimi… - Ecological …, 2023 - Elsevier
The quantitative understanding of vegetation vulnerability as a major example of terrestrial
ecosystems under hydrometeorological stress is essential for environmental risk …

Spatial drought occurrences and distribution using VCI, TCI, VHI, and Google Earth Engine in Bilate River Watershed, Rift Valley of Ethiopia

A Burka, B Biazin, W Bewket - Geomatics, Natural Hazards and …, 2024 - Taylor & Francis
Drought is a major natural hazard in Ethiopia, posing significant challenges and severe
consequences. This research aimed to assess the occurrence and distribution of drought in …

Variance based fusion of VCI and TCI for efficient classification of agriculture drought using MODIS data

ANJ Kukunuri, D Murugan, D Singh - Geocarto International, 2022 - Taylor & Francis
Overall health condition of the vegetation is obtained by combining satellite data derived
moisture and thermal stresses present in vegetation condition index (VCI) and thermal …