STANDWISE CHANGE DETECTION FOR GROWING STOCK USING REPEAT-PASS ALOS PALSAR / PALSAR-2 DATA
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چکیده
منابع مشابه
Standwise Change Detection for Growing Stock Using Repeat-pass Alos Palsar / Palsar-2 Data
This study demonstrates the possibility of detecting the changes of growing stocks in mountainous forest stands derived from ALOS PALSAR and PALSAR-2 images. The ALOS PALSAR were obtained over the Kwangneung Experiment Forest (KEF, Korea) during the period of nineteen and a half months from the April 26, 2009 to December 12, 2010, whereas the PALSAR-2 data were acquired on the April 7, 2015. Th...
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In order to assess the potentiality of ALOS L-band fully polarimetric radar data for forestry applications, we investigated a four-component decomposition method to characterize the polarization response of Siberian forest. The decomposition powers of surface scattering, double-bounce and volume scattering, derived with and without rotation of coherency matrix, were compared with Growing Stock ...
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Microwave remote sensing has shown proof of its effectiveness for frozen ground mapping due to the high difference of permittivity between frozen and unfrozen soil. However, the characterization of seasonal frozen ground still remains a problematic application. The Japan Aerospace Exploration Agency (JAXA) launched the Advanced Land Observing Satellite (ALOS) on the 24 of January 2006. This sat...
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This paper presents a verification processor, developed under ESA contract, for the generation of polarimetric, interferometric and polarimetric-interferometric geocoded products derived from SAR data obtained from the ALOS PALSAR instrument. The processor, developed with a modular approach, contains the following main elements: Phase-preserving fine resolution processor; Phase-preserving ScanS...
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We have investigated for forest plantations in Chile the stand-level retrieval of canopy height (CH) and growing stock volume (GSV) using Airborne Laser Scanner (ALS), ALOS PALSAR and Landsat. In a two-stage up-scaling approach, ensemble regression tree models (randomForest) were used to relate a suite of ALS canopy structure indices to stand-level in situ measurements of CH and GSV for 319 sta...
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ژورنال
عنوان ژورنال: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xli-b7-841-2016