1k citations · 1.7k across the 31 of their papers we have counts for
34 papers
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
Jonathan Xu, Amna Elmustafa, Liya Weldegebriel +5
Small farms contribute to a large share of the productive land in developing countries. In regions such as sub-Saharan Africa, where 80\% of farms are small (under 2 ha in size), t…
Building Coverage Estimation with Low-resolution Remote Sensing Imagery
Enci Liu, Chenlin Meng, Matthew Kolodner +5
Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, buildi…
Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2
Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey +3
Crop type maps are critical for tracking agricultural land use and estimating crop production. Remote sensing has proven an efficient and reliable tool for creating these maps in r…
With big data come big problems: pitfalls in measuring basis risk for crop index insurance
Matthieu Stigler, Apratim Dey, Andrew Hobbs +1
New satellite sensors will soon make it possible to estimate field-level crop yields, showing a great potential for agricultural index insurance. This paper identifies an important…
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong, Samar Khanna, Chenlin Meng +6
Unsupervised pre-training methods for large vision models have shown to enhance performance on downstream supervised tasks. Developing similar techniques for satellite imagery pres…
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
Yutong He, William Zhang, Chenlin Meng +3
Automated tracking of urban development in areas where construction information is not available became possible with recent advancements in machine learning and remote sensing. Un…