I am finding the solution for decide the status of plants species in a particular area that is locally engendered or abundant or rare by help of remote sensing and geoinformatics. is there any method for that ?
Yes, you can combine ecological niche modelling and remote sensing.
Example:
Response variable: Abundance data
There are a lot of explanatory variables. I recommend you the NDVI.
Modelling algorithms: GLM, GAM
References:
Franklin, J., 2009. Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation). Press, Cambridge University, New York.
Guisan, A., Edwards, T.C., 2002. Generalized linear and generalized additi v e models in studies of species distributions : setting the scene. Ecol. Modell. 157, 89-100.
Weber, M.M., Stevens, R.D., Diniz-Filho, J.A.F., Grelle, C.E. V., 2016. Is there a correlation between abundance and environmental suitability derived from ecological niche modelling? A meta-analysis. Ecography (Cop.). doi:10.1111/ecog.02125
I recommend you the NDVI for Plants and Knowledge of environment rests essentially on the mapping and inventory already carried on the area.
Hello Amit,
Yes I agree with the above suggestions but I suggest you think about using MaxEnt along with some sort of binary threshold (10 percentile training presence) and a land cover map to determine area of its niche which is already degraded. You can collect the occurrences from a local herbarium or GBIF, environmental variables from Worldclim.org (Version 2 Bioclimatic variables).
In addition to other responses, you might find the review article below useful for your study:
http://www.sciencedirect.com/science/article/pii/S0168169916310225
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