Is there any way I can retrieve global NDMI product in raster format?

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Aahed Alhamamy

Zainab Khan

Hi,

Acquiring global data on the Normalized Difference Moisture Index (NDMI) in raster format presents a significant challenge, especially given the large area of interest (AOI) and the constraints related to computation from satellite imagery sources like Landsat, ASTER, or Sentinel. While obtaining such data directly as a raster product can be intricate due to the required computational processes

There are alternative approaches that you might consider to address this issue:

Remote Sensing Archives: Explore existing remote sensing archives or data repositories that provide pre-processed NDMI data. Some organizations or projects might have already computed and compiled global or regional NDMI datasets, saving you the computational effort.

Earth Observation Databases: Investigate platforms that host a variety of Earth observation datasets, such as the Google Earth Engine or NASA's Earthdata Search. These platforms often offer pre-processed indices, including NDMI, which can be accessed and downloaded in raster format.

Research Institutions: Contact research institutions or universities that specialize in remote sensing and geospatial analysis. They might have developed or aggregated NDMI datasets for research purposes, which they could share or provide access to.

Data Fusion: Utilize fusion techniques that combine multiple data sources to estimate NDMI. This approach can involve merging data from various satellite sources, weather data, and other relevant information to approximate NDMI values over the desired AOI.

Collaboration: Collaborate with experts in the field of remote sensing and geospatial analysis. They might have insights or access to resources that could assist in obtaining or generating the required NDMI data.

Custom Computation: Consider leveraging cloud-based computing resources to perform the calculations efficiently over your AOI. Services like Google Earth Engine offer the capabilities to compute indices like NDMI on large areas without the need for extensive local computing resources.

It's important to consider the trade-offs between the data sources, computation requirements, and the accuracy of the generated NDMI data to ensure they align with the objectives of your analysis.

If you find my reply is useful , please recommend it , Thanks.

Mr. Aahed Alhamamy , thank you very much for taking time to address my query. Meanwhile, I have found HDF MODIS tiles containing NIR. In case prepared NDMI products are not available, we can also calculate it if somehow I manage get SWIR data. Do you know any such sources?

Kindly return to addressing my question.