Geospatial Tools and Techniques in Land Resource Inventory

Author(s):  
Suresh Kumar
1929 ◽  
Vol 5 (1) ◽  
pp. 22 ◽  
Author(s):  
Carleton P. Barnes

2017 ◽  
Vol 4 (4) ◽  
pp. 458-463 ◽  
Author(s):  
Devraj Chalise ◽  
Abhasha Joshi ◽  
Bikesh Twanabasu ◽  
Nabin Rawal ◽  
Saroj Amgai

To characterize soils of different land uses and to prepare land use zoning maps, a field survey was conducted in August, 2014 in Chaumala VDC, Kailali. Main objective was to prepare scientific land resource inventory at VDC level to delineate land use based on land types, associated soils and land capability classes to formulate sustainable land use planning. The maximum area is allocated in forest zone (66.62%) followed by agriculture zone (20.83%). Area allocated as public use is 9.48%, for residential is 2.91%, and for commercial is 0.15% whereas industrial area covers the minimum (0.01%). Detailed land resource inventory is utmost for better land use planning and formulating best land use policies.Int J Appl Sci Biotechnol, Vol 4(4): 458-463


2022 ◽  
Vol 58 (1) ◽  
pp. 106-110
Author(s):  
K. N. Ravi ◽  
S. L. Patil ◽  
Hrittick Biswas ◽  
M. N. Ramesha ◽  
B. S. Naik ◽  
...  

The paper investigates an innovative extension approach of generation and distribution ofLand Resource Cards, developed from Land Resource Inventory database, used for site-specific farm resource management in watersheds adopted under World Bank funded Sujala-III project. Extent of reach, satisfaction level and training status of Land Resource Cardsin 12 model micro-watersheds located in different agro-climatic regions of Karnataka witha sample size of 720 farmers was assessed. The Land Resource Cards reached only 18 percent of farmers while 22 per cent of farmers were trained for its utilization. However, 77per cent were satisfied with the information provided and 23 per cent suggested for furtherimprovement in cards for greater utility. The overall farmer’s perception on capacity buildingon land resource cards revealed that they were very useful in farm-level resourcemanagement. Hence, need for replication of similar approach in all database drivenwatersheds to be implemented in the future with adoption of modifications is suggested.


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