Improved forest biomass estimates using ALOS AVNIR-2 texture indices
By Latifur Rahman Sarker, Janet Elizabeth Nichol. 2011
271 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/de3b82b09c441e625381d3edda94aa9eaeccc561
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Elfatih M. Abdel-Rahman
- Nobuyuki Kobayashi
- Onisimo Mutanga
- Riyad Ismail
- Rob Slotow
- Hiroshi Tani
- Hideki Shimamura
- Xiufeng Wang
In Environmental Engineering
- Elfatih M. Abdel-Rahman
- Nobuyuki Kobayashi
- Onisimo Mutanga
- Riyad Ismail
- Hiroshi Tani
- Hideki Shimamura
- Xiufeng Wang
- Rei Sonobe
In Media Technology
Citations in the corpus
- Discrimination of crop types with TerraSAR-X-derived information (2015, background): “Optical remote sensing is one of the most attractive options for obtaining 6 biomass information, as currently available sensors offer fine spatial and spectral resolutions 7 (Sarker and Nichol 2011).”
- Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets (2015, background): “Medium-spatial resolution multispectral sensors thus represent a possible alternative due to their large coverage (i.e. swath width), despite having limitations such as the presence of mixed pixel information (Sarker and Nichol 2011).”