Satellite-based carbon stock estimation for bamboo forest with a non-linear partial least square regression technique

By H. Du, Guomo Zhou, H. Ge, W. Fan, Xiaojun Xu, Weiliang Fan, Yongjun Shi. 2012

57 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/73a341c94fa02260acd9ec23de0a3624668d99c7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Dengsheng Lu
2. Qi Chen
3. Emilio F. Moran
4. Zhe Zhu
5. Lorenzo Bruzzone
6. Mengying Shu

In Environmental Engineering

1. Dengsheng Lu
2. Qi Chen
3. Lijuan Liu
4. Guiying Li
5. Guangxing Wang
6. Emilio F. Moran

In Nature and Landscape Conservation

1. Dengsheng Lu
2. Qi Chen
3. Lijuan Liu
4. Guiying Li
5. Guangxing Wang
6. Emilio F. Moran

Citations in the corpus

• A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems (2016, background): “…the potential variables from Landsat Thematic Mapper (TM) images include individual spectral bands, vegetation indices, transformed images, textural images, and fractional images (Foody et al. 2003; Zheng et al. 2004; Lu and Batistella 2005; Avitabile et al. 2012; Du et al. 2012; Lu et al. 2012).”