Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region
Studies relating to trends of vegetation, snowfall and temperature in the north-western Himalayan region of India are generally focused on specific areas. Therefore, a proper understanding of regional changes in climate parameters over large time periods is generally absent, which increases the comp...
Saved in:
Main Authors: | Mohd Anul Haq, Prashant Baral, Shivaprakash Yaragal, Biswajeet Pradhan |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/49408d3b2f8045c39fc7b9c90a19ad6a |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelling Permafrost Distribution in Western Himalaya Using Remote Sensing and Field Observations
by: Md Ataullah Raza Khan, et al.
Published: (2021) -
Dead Fuel Moisture Content (DFMC) Estimation Using MODIS and Meteorological Data: The Case of Greece
by: Eleni Dragozi, et al.
Published: (2021) -
Land use land cover change in Kashmir Himalaya: Linking remote sensing with an indicator based DPSIR approach
by: Rehana Rasool, et al.
Published: (2021) -
Himalayan journal of sciences
Published: (2003) -
VERTICAL TEMPERATURE AND MOISTURE STRUCTURE IN LOWER ATMOSPHERE RETRIVED FROM TERRA/MODIS
by: Kim,Y. S, et al.
Published: (2004)