Extract Cropland Data Layer (CDL) file for a specific bounding box and year This python code queries NAAS Geodata API for given bounding box and year and retrives Cropland image in TIF format Get CDL file using following ways 1. By Year and FIPS/ASD code 2. By Year and Bounding BOX 3. By Year and multiple points 4. By Year and upload vector files (shp file in zip format) Click here for the API examples...
This is an introductory guide on using QGIS SCP (Semi-Automatic Classification/Supervised Classification) for classifying land cover using Landsat data. Before we dive in, let’s start with some key basics. Spectral Vs Informational Classes: Spectral Classes : Group of pixels that are uniform with respect to their pixel values in several spectral bands Informational Classes : Categories of interest to users of the data (i.e Water, Urban, Agriculture, Forest etc) Image classification is the process of GROUPING spectral classes and assgining them informational class names...
In continuation of Cropland CROS API link. The front-end application has been developed using React (w/ ts) and Material UI. Github Repo Screenshots 📷 Frontpage Area of Interest US state selection with Notification County with no data from API Final output