A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm
A high-resolution soil moisture prediction method has recently gained its importance in
various fields such as forestry, agricultural and land management. However, accurate …
various fields such as forestry, agricultural and land management. However, accurate …
[HTML][HTML] SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US
Soil moisture plays a key role in controlling land-atmosphere interactions, with implications
for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture …
for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture …
A multiscale deep learning model for soil moisture integrating satellite and in situ data
Deep learning (DL) models trained on hydrologic observations can perform extraordinarily
well, but they can inherit deficiencies of the training data, such as limited coverage of in situ …
well, but they can inherit deficiencies of the training data, such as limited coverage of in situ …
[HTML][HTML] IPM-Biological and integrated management of desert locust
Locusts have caused periodic disasters in the recorded history of humankind. Up to now,
locust disaster is still the biggest threat to the world's agricultural production. The desert …
locust disaster is still the biggest threat to the world's agricultural production. The desert …
High‐resolution soil moisture data reveal complex multi‐scale spatial variability across the United States
Soil moisture (SM) spatiotemporal variability critically influences water resources,
agriculture, and climate. However, besides site‐specific studies, little is known about how …
agriculture, and climate. However, besides site‐specific studies, little is known about how …
Unveiling the role of climate in spatially synchronized locust outbreak risks
Desert locusts threaten crop production and food security. Spatially synchronized locust
outbreaks further exacerbate these crises. Continental-scale understanding of such …
outbreaks further exacerbate these crises. Continental-scale understanding of such …
Leveraging weather radars for desert locust monitoring
Desert locusts are infamous for their ability to cause widespread devastation to crops and
agricultural lands. They have been known to cause significant economic losses in many …
agricultural lands. They have been known to cause significant economic losses in many …
[HTML][HTML] Spatial and temporal variability of grassland grasshopper habitat suitability and its main influencing factors
B Du, J Wei, K Lin, L Lu, X Ding, H Ye, W Huang… - Remote Sensing, 2022 - mdpi.com
Grasshoppers are highly destructive pests, and their outbreak can directly damage livestock
development. Grasshopper outbreaks can be monitored and forecasted through dynamic …
development. Grasshopper outbreaks can be monitored and forecasted through dynamic …
[HTML][HTML] Dynamic forecast of desert locust presence using machine learning with a multivariate time lag sliding window technique
Desert locust plagues can easily cause a regional food crisis and thus affect social stability.
Preventive control of the disaster highlights the early detection of hopper gregarization …
Preventive control of the disaster highlights the early detection of hopper gregarization …
[HTML][HTML] The potential habitat of desert locusts is contracting: predictions under climate change scenarios
J Guan, M Li, X Ju, J Lin, J Wu, J Zheng - PeerJ, 2021 - peerj.com
Desert locusts are notorious for their widespread distribution and strong destructive power.
Their influence extends from the vast arid and semiarid regions of western Africa to …
Their influence extends from the vast arid and semiarid regions of western Africa to …