Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This paper presents an evaluation on strategies for rubber plantation mapping employing SAR data coupled with Random Forest (RF) and Support Vector Machine (SVM). Linear backscatter coefficients achieved saturation point at about 10 years, making this form of polarimetric data being robust only for young to mature stands. This research found that the performance of both algorithms was comparable. The addition of texture features gave substantial impact to the overall accuracy. As indicated by the analysis of variable importance, only some texture features have contributed to higher overall accuracy. Classification using a subset of texture features pointed out that accuracy could be improved using dual polarimetric data, while trivial enhancement was seen in combined HH, HV and VV backscatter intensities. The research showed that classification accuracy could be further augmented by setting proper classification parameters. Nonetheless, it is argued that the level of improvement would greatly depend on selecting a proper dataset fed into classifier, rather than tuning classifier parameters

Discrimination of scatterer responses on tailings deposition zone using radar polarimetry

Mining waste is becoming one of the major issues in environmental management. Continuous monitoring is essential to ensure proper remediation activities. Polarimetric radar plays an important role in providing useful information about the conditions of tailings in cloud-prone areas such as Indonesia. This paper discusses the possibility of monitoring the wetness of tailings in the deposition zone, in order to support land reclamation. We discover that an acceptable level of accuracy is provided by a Mahalanobis classifier on linear polarisation C- and L-band radar data. Taking into account the recent launch of the Envisat radar sensor, we assess the possibility of using partial polarimetric radar data. Interestingly, we attain comparable accuracies on quad and dual polarimetric data. It suggests that partial polarimetric data can be useful and efficient for this specific purpose. © Springer Science+Business Media, LLC 2007

Proceedings of SPIE - The International Society for Optical Engineering

© 2015 SPIE. Rubber ranks the second largest plantation in Indonesia after oil palm. While oil palm plantations have been exploited mainly by large companies, many rubber plantations are still managed by peasant farmers who maintain its biodiversity. Due to its broad and scattered location, monitoring tropical rubber plantation is a crucial application of active remote sensing. In this paper, the backscatter coefficient of Envisat Advanced Synthetic Aperture Radar (ASAR) is compared to interferometric coherence to study the relationship between stand age and SAR parameters. It is shown that VV polarized C-band SAR achieves its saturation level in plantations aged about 5-10 years. Extension of saturation level can be achieved by processing an interferometric pair of ASAR data, which results in interferometric coherence. In this paper, coherence can take up to 20 years stand age to achieve prior to saturation. Since stand age is highly related to biomass, this finding argues that the biomass can be best estimated using coherence

Pemanfaatan Citra RADARSAT-2 dalam Pemantauan Fase Pertumbuhan Tanaman Padi (StudiKasus : PT. Sang Hyang Seri, Subang Jawa Barat

Hal. 551-56