I am working on a research project to investigate the impacts of climate variability (specifically RF variability/ met. Droughts) on a forestland dominantly consisting of a single tree species. My intention is to use bias-corrected CHIRPS satellite rainfall estimate to compute SPI for monitoring meteorological droughts and to use MODIS NDVI V6 for monitoring vegetation drought, and finally to analyze the correlation between the SPI computed from the bias-corrected CHIRPS rainfall grid and the VCI (vegetation condition index) derived from the MODIS-NDVI. So, (i) would you please suggest me other data sources/ methods (if any) to realize this purpose? (ii) is there any pre-processing requirement of the MODIS-NDVI other than rescaling? (iii) please, would you provide me an article closely related to this (forest drought monitoring)?
think of some arid zone indicator species that can act as proxy to drought
Dear Abhijit Mitra Thank you for you concern. Normally the study region is not arid. It is relatively humid (much better than semi-arid) but characterized by variable RF pattern. Besides, the species is locally threatened endangered. So, the objective is to understand the sensitivity/response of the tree species to rainfall variability by tracking its time-series NDVI/ VCI values and its correlations with a concurrent SPI values.
Смотрите здесь:
https://www.researchgate.net/project/Remote-Sensing-of-plant-communities-agricultural-crops
https://elibrary.ru/author_items.asp?authorid=853371
leaf water potential (LWP) and normalized different water index(NDWI) also used to find out the drought situation in the plants
Dear all, @Vjacheslav Fisenko , Dounia Mrad, Nagalakshmi Radhakrishnan thank you.
Hi dear Mitra
As you know for monitoring drought events, first of all you need to calculate drought indices in different kinds of drought types.
For every index you need to specific weather data or maybe other data. In your field if your case study related to a big forest you can use gridded dataset for gathering weather data, for example AgMERRA, CRU, and etc. Also, you can use remote sense products.
After preparing your input demand data then you should calculate drought indices in different types of drought events, namely Meteorological drought, Agricultural drought, and Hydrological drought.
I want to inform you different tools for calculating drought events and drought monitoring that both of them calculate severity and duration of each drought events in different grid that you want:
One of them is RDIT that it can calculate Rain-based drought indices + severity and duration of drought events.
https://agrimetsoft.com/rdit.aspx
The other one that is comprehensive and applicable tool is DMAP that can calculate different drought indices in three kinds of droughts (around 20 indices) beside severity and duration.
https://www.agrimetsoft.com/drought%20monitoring%20and%20prediction.aspx
By proper input data you can compute drought indices in point and in grid regions.
If you have further questions, let me know.
Regards,
Nasrin
Dear Nasrin Salehnia, Thank you. I will go through the materials you send me and reply later.
with regards
I thnk it's a good paper
Article Current remote sensing approaches to monitoring forest degra...
Regards
Hi Birhane Gebrehiwot Tesfamariam
Kindly, you could see our works on the drought mapping and severity assessing in Iraq through the following papers:
Article Analysis of Agricultural Drought’s Severity and Impacts in E...
Article Analysis of Agricultural Drought, Rainfall, and Crop Yield R...
I hope they help. Good luck.
Dear Ayad M. Fadhil Al-Quraishi
Thank you for this useful infromation
Dry spell between last rainfall to current will help in determining drought index.
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