March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas...
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![Page 1: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/1.jpg)
March 19, 2015
Mapping croplands using Landsat data with generalized classifier over large
areas
Aparna Phalke and Prof. Mutlu Ozdogan
Nelson Institute for Environmental Studies University of Wisconsin - Madison
![Page 2: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/2.jpg)
Updates on following
• Efforts to improve accuracy of crop/non-crop map
• Incorporating ALOS/PALSAR data in developing LDA model
• Document/paper writing in progress on crop/non-crop algorithm at 30m by Landsat
![Page 3: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/3.jpg)
Efforts to improve accuracy of crop/non-crop map
1. Accuracy increase due to its check at segment level previously we had accuracy check for 3*3 pixel location :
2. ALOS/PALSAR data use
![Page 4: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/4.jpg)
Own level : Accuracy increase due to Effort1
![Page 5: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/5.jpg)
Zone level : Accuracy increase due to Effort1
![Page 6: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/6.jpg)
Global level : Accuracy increase due to Effort1
![Page 7: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/7.jpg)
![Page 8: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/8.jpg)
Incorporating ALOS/PALSAR data in developing LDA modelALOS/ PALSAR data advantage:• The PALSAR-2 aboard the ALOS-2 is a Synthetic
Aperture Radar (SAR), which emits microwave and receives the reflection from the ground to acquire information.
• L-band, which is less affected by clouds and rains. PALSAR data has free access.
• Good capability to monitor cultivated areas
![Page 9: March 19, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute.](https://reader035.fdocuments.in/reader035/viewer/2022062718/56649eb35503460f94bba914/html5/thumbnails/9.jpg)
PALSAR data collection• One tile of data is 2gb
• Data preparation, collection and pre-processing is in process.
• We need total 200 tiles for whole study areas. (Europe , North Africa, Middle East)