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A review of remote sensing for water quality retrieval: progress and challenges
H Yang, J Kong, H Hu, Y Du, M Gao, F Chen - Remote Sensing, 2022 - mdpi.com
Water pollution has become one of the most serious issues threatening water environments,
water as a resource and human health. The most urgent and effective measures rely on …
water as a resource and human health. The most urgent and effective measures rely on …
Challenges in modeling and predicting floods and droughts: A review
Predictions of floods, droughts, and fast drought‐flood transitions are required at different
time scales to develop management strategies targeted at minimizing negative societal and …
time scales to develop management strategies targeted at minimizing negative societal and …
Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …
Unmanned aerial vehicles in hydrology and water management: Applications, challenges, and perspectives
BS Acharya, M Bhandari, F Bandini… - Water Resources …, 2021 - Wiley Online Library
The hydrologic sciences and water resources management have long depended on a
combination of in situ measurements and remotely sensed data for research and regulatory …
combination of in situ measurements and remotely sensed data for research and regulatory …
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning
An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …
management. Current ground methods to measure SMC were limited by the disadvantages …
High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
M Cheng, X Jiao, L Shi, J Penuelas, L Kumar, C Nie… - Scientific data, 2022 - nature.com
Accurate and high-resolution crop yield and crop water productivity (CWP) datasets are
required to understand and predict spatiotemporal variation in agricultural production …
required to understand and predict spatiotemporal variation in agricultural production …
[HTML][HTML] Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling
Nitrogen is an essential nutrient that directly affects plant photosynthesis, crop yield, and
biomass production for bioenergy crops, but excessive application of nitrogen fertilizers can …
biomass production for bioenergy crops, but excessive application of nitrogen fertilizers can …
Uncrewed aerial systems in water resource management and monitoring: a review of sensors, applications, software, and issues
Uncrewed aerial systems (UASs) are becoming very popular in the domain of water
resource map** and management (WRMM). Being a cheaper and quicker option capable …
resource map** and management (WRMM). Being a cheaper and quicker option capable …
Towards smart irrigation: A literature review on the use of geospatial technologies and machine learning in the management of water resources in arboriculture
Agriculture consumes an important ratio of the water reserve in irrigated areas. The
improvement of irrigation is becoming essential to reduce this high water consumption by …
improvement of irrigation is becoming essential to reduce this high water consumption by …
Radiance-based NIRv as a proxy for GPP of corn and soybean
Substantial uncertainty exists in daily and sub-daily gross primary production (GPP)
estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that …
estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that …