Spatial Analysis of Land Resources for Enhancing Watershed Resilience: A Study from Pashupathihal-4 Micro-Watershed, Kundgol Taluk, Dharwad District, Karnataka, India

Background: This study highlights the significance of the Land Resource Inventory (LRI) in the context of farm-level watershed planning, especially for sustainable agricultural development. In India, the degradation of natural resources due to unsustainable land use practices has led to compromised watershed health. Methods: The study involved an in-depth LRI of the Pashupathihal-4 micro-watershed (973.47 ha) in Dharwad, Karnataka, utilizing remote sensing (RS) and Geographical Information System (GIS) technologies. This integration created high-resolution soil and nutrient maps that captured spatial variability across the watershed's terrain, classified into 16 distinct soil mapping units. The study incorporated FAO land evaluation guidelines to assess land capability and crop suitability, while also analyzing soil properties such as phosphorus, potassium, sulfur, nitrogen and organic carbon. Results and Conclusion: Results revealed significant spatial variability in soil characteristics, especially in soil depth, texture, erosion and slope, influencing land use potential. The BTPmA1 soil series was the most widespread, covering 35.04% of the area, with over 94% of the watershed classified under Land Classes II and III, indicating moderate constraints and suitability for various crops. Nutrient analysis indicated medium phosphorus (92.33%), high potassium (73.84%) and high sulfur (94.82%) levels, with low nitrogen and organic carbon in most areas, necessitating targeted nutrient management. Crop suitability analysis revealed that 90.15% of the area was highly suitable for sorghum, with maize showing moderate to high suitability. Soybean, groundnut, and cotton were categorized as moderately suitable due to slope, gravelliness and fertility limitations. The study concluded that integrating LRI with geospatial tools enables precise micro-watershed planning.

Authors

Publication Details

Journal
Journal of Scientific Research and Reports
Published
2025-05-14
DOI
https://doi.org/10.9734/jsrr/2025/v31i53071
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial Analysis of Land Resources for Enhancing Watershed Resilience: A Study from Pashupathihal-4 Micro-Watershed, Kundgol Taluk, Dharwad District, Karnataka, India

S. S. Gundlur, M V Manjunath, P Priya, B. R. Jagadeesh et al.
Journal of Scientific Research and Reports
Water resources management and optimization
article

Spatial Analysis of Land Resources for Enhancing Watershed Resilience: A Study from Pashupathihal-4 Micro-Watershed, Kundgol Taluk, Dharwad District, Karnataka, India

S. S. Gundlur, M V Manjunath, P Priya, B. R. Jagadeesh, Jakir Hussain K N, G R Rajkumar
article en

Abstract

Background: This study highlights the significance of the Land Resource Inventory (LRI) in the context of farm-level watershed planning, especially for sustainable agricultural development. In India, the degradation of natural resources due to unsustainable land use practices has led to compromised watershed health. Methods: The study involved an in-depth LRI of the Pashupathihal-4 micro-watershed (973.47 ha) in Dharwad, Karnataka, utilizing remote sensing (RS) and Geographical Information System (GIS) technologies. This integration created high-resolution soil and nutrient maps that captured spatial variability across the watershed's terrain, classified into 16 distinct soil mapping units. The study incorporated FAO land evaluation guidelines to assess land capability and crop suitability, while also analyzing soil properties such as phosphorus, potassium, sulfur, nitrogen and organic carbon. Results and Conclusion: Results revealed significant spatial variability in soil characteristics, especially in soil depth, texture, erosion and slope, influencing land use potential. The BTPmA1 soil series was the most widespread, covering 35.04% of the area, with over 94% of the watershed classified under Land Classes II and III, indicating moderate constraints and suitability for various crops. Nutrient analysis indicated medium phosphorus (92.33%), high potassium (73.84%) and high sulfur (94.82%) levels, with low nitrogen and organic carbon in most areas, necessitating targeted nutrient management. Crop suitability analysis revealed that 90.15% of the area was highly suitable for sorghum, with maize showing moderate to high suitability. Soybean, groundnut, and cotton were categorized as moderately suitable due to slope, gravelliness and fertility limitations. The study concluded that integrating LRI with geospatial tools enables precise micro-watershed planning.

Journal of Scientific Research and ReportsVol. 31(5)
Openalex Percentile: Top 87%
Water resources management and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.