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Found 4 papers, 2 papers with code
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
We finally discuss the impact of weather by correlating our results with crop phenology to show that WSTATT is able to capture physical properties of crop growth.
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
Mapping and monitoring crops is a key step towards sustainable intensification of agriculture and addressing global food security.
Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models
It is shown that by using a plain queue to fill depressions once they have been found, an O(m lg m) time-complexity can be achieved, where m does not exceed the number of cells n. This is the lowest time complexity of any known floating-point depression-filling algorithm.
Data Structures and Algorithms
An Efficient Assignment of Drainage Direction Over Flat Surfaces in Raster Digital Elevation Models
In testing, the improved algorithm ran 6. 5 times faster than the old for a 100 x 100 cell flat and 69 times faster for a 700 x 700 cell flat.
Data Structures and Algorithms
