Trial biomass map production in Riau Province, Indonesia using L-band SAR data

被引：0

作者：

Watanabe, Manabu ^{[1
]}

Motohka, Takeshi ^{[1
]}

Thapa, Rajesh Bahadur ^{[1
]}

Shiraishi, Tomohiro ^{[1
]}

Shimada, Masanobu ^{[1
]}

机构：

[1] Japan Aerosp Explorat Agcy JAXA, Earth Observat Res Ctr, Tsukuba, Ibaraki 3058505, Japan

来源：

CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR) | 2013年

关键词：

FOREST;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Biomass maps were produced from PALSAR data using two methods. Method 1 used land-cover classification results derived from PALSAR multi-temporal mosaic images. The average biomass value for a class was regarded as a representative biomass value for the class, and these were assigned to each respective class. Method 2 used the correlation between radar backscattering (gamma(0)(HV)) and forest aboveground biomass (AG-biomass). The RMSEs of the biomass estimation for method 2 were between 59.1 and 79.4, depending on the LiDAR-biomass model. These values are smaller than 99.1, which is the estimate from a simple average (method 1). This indicates that the variety of biomass within a natural forest class is correctly evaluated with method 2 by using the gamma(0)(HV)-(AG-biomass) relation. The gamma(0)(HV)-(AG-biomass) relation is useful for accurately estimating biomass, especially for a region in which biomass is less than 100 t/ha.

引用

页码：152 / 155

页数：4

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