RMPS (Rupnagar Maize Paddy Sugarcane) dataset

Citation Author(s):
Karan
Singh
Indian Institute of Technology Ropar
Rajiv
Ranjan
Plaksha University
Sushil
Ghildiyal
Indian Institute of Technology Ropar
Shashank
Tamaskar
Plaksha University
Neeraj
Goel
Indian Institute of Technology Ropar
Submitted by:
Sushil Ghildiyal
Last updated:
Fri, 09/27/2024 - 02:10
DOI:
10.21227/rfed-3z84
License:
Creative Commons Attribution
75 Views
Categories:
Agriculture
Machine Learning
Geoscience and Remote Sensing
Remote Sensing
Keywords:
crop type mapping; machine learning; precision agriculture
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Abstract 

The study focused on two regions in Rupnagar district, India, with an area of 216 km² as shown in Fig. 1a, using satellite data from June to November 2023. The upper region predominantly features paddy and maize, while the lower region includes paddy and sugarcane. Satellite images were obtained from PlanetScope’s 130-satellite constellation, with a spatial resolution of 3 meter. A total of 32 images, captured between late May and mid-November 2023, were used, all with less than 15% cloud cover.

Instructions: 

The dataset folder is RMPS dataset, this folder contains three subdirectories namely:
1. upperArea
2. lowerArea
3. Groundtruth

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