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
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
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
Own level : Accuracy increase due to Effort1
Zone level : Accuracy increase due to Effort1
Global level : Accuracy increase due to Effort1
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
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)
Thank you