Read an review article, "Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications" by Jinru Xue and Baofeng Su. Wanting to learn which vegetation index model would be used in Borneo Malaysia (tropical forestry). NDVI is always a go to, but through this paper I read that WDRVI, SAVI, RVI, etc. could be used as well. Any suggestions?
NDVI saturates at high biomass levels, as is the cases in tropical forest including Borneo. Wherever we tested SAVI and other indices (as early as the eighties in the past century) in lower biomass zones, the difference with NDVI was marginal.
Now the fundamental issue. What do want to measure, understand, explore in forestry by NDVI? What is your research gap/question)? Deforestation, reforestation, cover change in other words , for example, does not need NDVI (see our articles). However, seasonal changes outside the tropics may be estimated well by NDVI.
Hello. I suggest testing different indices in a small area. According to field data and statistical comparison, the best indices are selected.
SAVI indexes family (SAVI, MSAVI, MSAVI 1, MSAVI) are better in arid area (desert, steppique land.... ), NDVI is more efficient in dense vegetation zones (forests, dense agriculture....).
Monteverdi Open software (by OTB/CNES), can calculate so many vegetation indexes at the same time, need to generate few of them and check by photo-interpretation which one is the more efficient
The goal of this task is to estimate harvest-able timber volume. I was advised to use vegetation index(s) to measure crown density to estimate volume. I have sample plot data to build a model to then use on the rest of the desired area. Sample plot data is about 2100 ha. Total area is about 76000 ha.
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