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…
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga +6
Accurate canal network mapping is essential for water management, including irrigation planning and infrastructure maintenance. State-of-the-art semantic segmentation models for in…
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…