International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer

See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 9, Issue:11, November, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(11): 1683-1691

Land Potentiality Investigation for Agroforestry Purpose using Remote Sensing and GIS
Firoz Ahmad1, Mohammad Shujauddin Malik1, Shahina Perween1, Nishar Akhtar1*, Nazimur Rahman Talukdar2,3, Prakash Chandra Dash4, Sunil Pratap Kumar5, Laxmi Goparaju5, Firoz Ahmad5 and Abdul Qadir6
1Birsa Agricultural University, Kanke, Ranchi, Jharkhand, India
2Wildlife Conservation Laboratory, Department of Ecology and Environmental Science, Assam University, Silchar, India-788011
3Centre for Biodiversity and Climate Change Research, Udhayan, Hailakandi-788155, Assam
4Xavier Institute of Social Service (XISS), Ranchi, Jharkhand
5Vindhyan Ecology and Natural History Foundation, Mirzapur, Uttar Pradesh, India
6Department of Geography, Punjab University, Chandigarh-160014, Punjab, India
*Corresponding author

The study applied the soil, land and topographic data for analyzing the potentiality of land for trees /crops suitability in the Gumla district of Jharkhand, India. The remote sensing, GIS and GIS modeling techniques were used to achieve the goal. The soil fertility, soil wetness, and slope map are scientifically produced and integrated to find out the landscape suitable categories for prioritization of trees/crops scaling in the agroforestry domain. Additionally, we have examined the drift of loss of soil wetness using satellite data from monsoon to post-monsoon period up to the village level. The analysis logically revealed the potentially suitable landscape (28%: high; 38%: medium; 25%: low and 9%: very low) for tree/crop farming. The seasonal drift of soil moisture loss after monsoon season was found highest in village Mahugaon followed by Pahladpur, Jalka, Itkiri, Shiwserang, and Gamhariya. Furthermore, 40% of the total villages of the study area showed soil wetness loss from medium to very high during the same base period which needs intensive soil and water conservation measures at the watershed level to conserve seasonal rainwater. These efforts will improve the soil moisture and water availability for plants and support significantly in extending agroforestry exercise/design/ management locally. Such analysis/results are one of the potential research gaps can be harnessed for the betterment of cultivators/farmers in the tribal-dominated region using local knowledge for designing appropriate agroforestry practices/models and can be incorporated in various ongoing and future projects.

Keywords: Land potentiality, Remote sensing & GIS, Soil fertility, soil wetness, Jharkhand

Download this article as Download

How to cite this article:

Firoz Ahmad, Mohammad Shujauddin Malik, Shahina Perween, Nishar Akhtar, Nazimur Rahman Talukdar, Prakash Chandra Dash, Sunil Pratap Kumar, Laxmi Goparaju, Firoz Ahmad and Abdul Qadir. 2020. Land Potentiality Investigation for Agroforestry Purpose using Remote Sensing and GIS.Int.J.Curr.Microbiol.App.Sci. 9(11): 1683-1691. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.