[HTML][HTML] A new digital soil map** approach based on the adjacency effect
Accurate soil map** is crucial for agriculture, land, ecosystem and environmental
management. Digital Soil Map** (DSM) is one of the most conventional and widely used …
management. Digital Soil Map** (DSM) is one of the most conventional and widely used …
Improving runoff prediction accuracy in a mountainous watershed using a remote sensing-based approach
Due to the limited number and sparse distribution of meteorological and hydrometric stations
in most watersheds, the runoff estimation based on these stations may not be accurate …
in most watersheds, the runoff estimation based on these stations may not be accurate …
A multi-source data fusion method to improve the accuracy of precipitation products: A machine learning algorithm
ME Assiri, S Qureshi - Remote Sensing, 2022 - mdpi.com
In recent decades, several products have been proposed for estimating precipitation
amounts. However, due to the complexity of climatic conditions, topography, etc., providing …
amounts. However, due to the complexity of climatic conditions, topography, etc., providing …
Estimation of 100 m root zone soil moisture by downscaling 1 km soil water index with machine learning and multiple geodata
Root zone soil moisture (RZSM) is crucial for agricultural water management and land
surface processes. The 1 km soil water index (SWI) dataset from Copernicus Global Land …
surface processes. The 1 km soil water index (SWI) dataset from Copernicus Global Land …
[HTML][HTML] Enhanced ephemeral gully map** through multi-classifier integration and spectral feature analysis
The map** of ephemeral gullies (EGs) is essential for improving and managing
agriculture, but it poses challenges in terms of their identification, monitoring, and …
agriculture, but it poses challenges in terms of their identification, monitoring, and …
Revealing the Hidden Consequences of Increased Soil Moisture Storage in Greening Drylands
Y Wang, T Han, Y Yang, Y Hai, Z Wen, R Li, H Zheng - Remote Sensing, 2024 - mdpi.com
Vegetation primarily draws water from soil moisture (SM), with restoration in drylands often
reducing SM storage (SMS). However, anomalies have been detected in the Bei**g–Tian** …
reducing SM storage (SMS). However, anomalies have been detected in the Bei**g–Tian** …
[HTML][HTML] Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning
SA Sahaar, JD Niemann - Remote Sensing, 2024 - mdpi.com
This study explores machine learning for estimating soil moisture at multiple depths (0–5 cm,
0–10 cm, 0–20 cm, 0–50 cm, and 0–100 cm) across the coterminous United States. A …
0–10 cm, 0–20 cm, 0–50 cm, and 0–100 cm) across the coterminous United States. A …
[HTML][HTML] Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data
J Wang, H Xue, G Dong, Q Yuan, R Zhang, R **g - Applied Sciences, 2024 - mdpi.com
Soil moisture is a key variable that affects ecosystem carbon and water cycles and that can
directly affect climate change. Remote sensing is the best way to obtain global soil moisture …
directly affect climate change. Remote sensing is the best way to obtain global soil moisture …
An adjacency effect-based approach for accuracy improvement in satellite land surface temperature disaggregation
One of the key parameters that affects the accuracy of land surface temperature (LST)
disaggregation is the environmental variables that are fed to the disaggregation model. The …
disaggregation is the environmental variables that are fed to the disaggregation model. The …
La sequía en la agricultura: recursos digitales disponibles para diagnosticar su ocurrencia y reducir sus impactos en América Latina y el Caribe.
La sequía, que desde tiempos inmemoriales ha formado parte de la experiencia humana,
ha tenido un impacto considerable en el entorno y las actividades del hombre. En particular …
ha tenido un impacto considerable en el entorno y las actividades del hombre. En particular …