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Application of Remote Sensing Data for Locust Research and Management—A Review

, , and . Insects, 12 (3): 233 (March 2021)
DOI: 10.3390/insects12030233

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Combination of PROBA-V/MODIS-based Products with Sentinel-1 SAR Data for Detecting Wet and Dry Snow Cover in Mountainous Areas, , , and . Remote Sensing, 11 (16): 1--20 (2019)IRSeL - An approach to enhance continuity and accuracy of remotely sensed land cover data., , and . Int. J. Appl. Earth Obs. Geoinformation, (2014)Wet and Dry Snow Detection Using Sentinel-1 SAR Data for Mountainous Areas with a Machine Learning Technique, , , and . Remote Sensing, 11 (8): 1--29 (2019)Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2., , and . Remote. Sens., 13 (21): 4473 (2021)Chapter 2: Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of the Art, and Future Possibilities, , , , , and . (2015)Application of Remote Sensing Data for Locust Research and Management—A Review, , and . Insects, 12 (3): 233 (March 2021)Application of geospatial and remote sensing data to support locust management, , , , , and . International Journal of Applied Earth Observation and Geoinformation, 117 (103212): 1-15 (January 2023)Mapping of Wet and Dry Snow Cover in Mountain Regions Relying on Sentinel-1 SAR Data with a Machine Learning Approach, , , and . ESA Living Planet Symposium, (2019)Analyzing Water Dynamics Based on Sentinel-1 Time Series - a Study for Dongting Lake Wetlands in China, , , , , , and . Remote Sensing, 12 (11): 1--21 (Mai 2020)Automatic Grassland Cutting Status Detection in the Context of Spatiotemporal Sentinel-1 Imagery Analysis and Artificial Neural Networks., , and . Remote Sensing, 11 (6): 711 (2019)