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Published byCameron Hodge Modified over 9 years ago
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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
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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
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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
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Own level : Accuracy increase due to Effort1
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Zone level : Accuracy increase due to Effort1
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Global level : Accuracy increase due to Effort1
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Incorporating ALOS/PALSAR data in developing LDA model ALOS/ 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
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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)
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Thank you phalke@wisc.edu
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