Crop Mapping: Sugarcane Crop Mapping - Crop Classification in ArcGIS.
Автор: Geoinformatics Intelligence
Загружено: 2022-08-31
Просмотров: 6569
Описание:
How to Identify Sugarcane Crop using Optical Data| Crop Classification using Sentinel 2| Crop classification using satellite imagery
Crop type mapping with Sentinel 2 Imagery.
Agriculture Monitoring with satellite Image.
Methodology to Identify the Crop.
how to do Crop classification in ERDAS Imagine.
Practical Exercise On Sugarcane Identification & Crop classification using Satellite data.
In this tutorial, we will learn about the Sugarcane Crop identification & Classified Sugarcane Crop using NDVI & Unsupervised Method.
Software used ERDAS & Arcgis.
1.Sentinel 2 Data download from April 2022 to August 2022.
2.Then Calculate NDVI In ArcGIS.
3.Layer Stack All the NDVI Layers in a Single Band using Band Composition Tool in ArcGIS.
Next Process will do in ERDAS Imagine Software.
1.Open NDVI Stacked Image, which contain All NDVI bands in a single layer.
2.Then Unsupervised NDVI stacked Image, Into 100 classes using K- means clustering.
3.Open Unsupervised Image, Classified Crops.
4.We have a Sugarcane Ground Truthing points. With the Help of GT Points we will identify the exact pixel of sugarcane & classified into in Sugarcane crop.
You can ask anything about this tutorial, please feel free to contact me on my WhatsApp number 7529918160.
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