Remote sensing of drought: Progress, challenges and opportunities

A AghaKouchak, A Farahmand, FS Melton… - Reviews of …, 2015 - Wiley Online Library
This review surveys current and emerging drought monitoring approaches using satellite
remote sensing observations from climatological and ecosystem perspectives. We argue …

[HTML][HTML] A fine-resolution soil moisture dataset for China in 2002–2018

X Meng, K Mao, F Meng, J Shi, J Zeng… - Earth System …, 2021 - essd.copernicus.org
Soil moisture is an important parameter required for agricultural drought monitoring and
climate change models. Passive microwave remote sensing technology has become an …

Distribution, diversity, and seasonality of waterborne salmonellae in a rural watershed

BJ Haley, DJ Cole, EK Lipp - Applied and environmental …, 2009 - Am Soc Microbiol
Salmonella outbreaks from contaminated water and nonanimal foods (eg, produce) are
increasingly reported. To address the environment as a potential source of pathogenic …

Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions

X Wang, H Xie, H Guan, X Zhou - Journal of hydrology, 2007 - Elsevier
Surface representation of the root-zone soil moisture is investigated so that feasibility of
using optical remote sensing techniques to indirectly map root-zone soil moisture is …

Relationships among remotely sensed soil moisture, precipitation and landslide events

RL Ray, JM Jacobs - Natural Hazards, 2007 - Springer
Landslides are triggered by earthquakes, volcanoes, floods, and heavy continuous rainfall.
For most types of slope failure, soil moisture plays a critical role because increased pore …

Assimilation and downscaling of satellite observed soil moisture over the Little River Experimental Watershed in Georgia, USA

AK Sahoo, GJM De Lannoy, RH Reichle… - Advances in Water …, 2013 - Elsevier
A three dimensional Ensemble Kalman filter (3-D EnKF) and a one dimensional EnKF (1-D
EnKF) are used in this study to assimilate Advanced Microwave Scanning Radiometer …

Soil moisture mapping with moisture-related indices, OPTRAM, and an integrated random forest-OPTRAM algorithm from Landsat 8 images

U Acharya, ALM Daigh, PG Oduor - Remote Sensing, 2022 - mdpi.com
Remote sensing tools have been extensively used for large-scale soil moisture (SM)
mapping in recent years, using Landsat satellite images. Rainfall, soil clay percentage, and …

Development of a grid‐based version of the SWAT landscape model

H Rathjens, N Oppelt, DD Bosch… - Hydrological …, 2015 - Wiley Online Library
Integrated river basin models should provide a spatially distributed representation of basin
hydrology and transport processes to allow for spatially implementing specific management …

Improvement of the AMSR-E algorithm for soil moisture estimation by introducing a fractional vegetation coverage dataset derived from MODIS data

H Fujii, T Koike, K Imaoka - Journal of the remote sensing society of …, 2009 - jstage.jst.go.jp
Improvement of the AMSR-E Algorithm for Soil Moisture Estimation by Introducing a Fractional
Vegetation Coverage Dataset Derived Page 1 Abstract RSSJ Journal of The Remote Sensing …

Soil moisture retrival based on sentinel-1 imagery under sparse vegetation coverage

S Huang, J Ding, J Zou, B Liu, J Zhang, W Chen - Sensors, 2019 - mdpi.com
Soil moisture is an important aspect of heat transfer process and energy exchange between
land-atmosphere systems, and it is a key link to the surface and groundwater circulation and …