5 papers
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
Oishee Bintey Hoque, Nibir Chandra Mandal, Mandy L Wilson +3
Concentrated Animal Feeding Operations (CAFOs) play an important role in agricultural production but are also associated with environmental, public health, and disease surveillance…
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
Oishee Bintey Hoque, Nibir Chandra Mandal, Kyle Luong +4
Large-scale livestock operations pose significant risks to human health and the environment, while also being vulnerable to threats such as infectious diseases and extreme weather…
An Effective Approach for Node Classification in Textual Graphs
Rituparna Datta, Nibir Chandra Mandal
Textual Attribute Graphs (TAGs) are critical for modeling complex networks like citation networks, but effective node classification remains challenging due to difficulties in inte…
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga +4
Accurate mapping of irrigation methods is crucial for sustainable agricultural practices and food systems. However, existing models that rely solely on spectral features from satel…
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping
Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga +7
We introduce IrrMap, the first large-scale dataset (1.1 million patches) for irrigation method mapping across regions. IrrMap consists of multi-resolution satellite imagery from La…