Evaluation of built-up land incompatibility with land capability and its implications for critical land in the Serang Watershed

The increase in population encourages land conversion from non- built-up land to built-up land. These conditions often do not consider the land's capability, resulting in an increase in land degradation. The Serang Watershed is one of 108 priority watersheds in Indonesia that require restoration, and is in a state of significant increase in land degradation due to rapid land conversion. Also, Climate change is one of the challenges that can contribute to the decline in watershed function and services. This study aims to analyze the impact of built-up land growth on critical land through land capability mapping. The Analytic Hierarchy Process (AHP) method was used to produce a land capability map, followed by a tiered overlay analysis with built-up land data from sentinel 2A image extraction and critical land data in 2022. The result was that 2,866.72 hectares of land that had exceeded its capability limit was still not classified as critical land, while another 6,113.03 hectares was only categorized as moderately critical despite having exceeded its capability limit. These findings highlight the importance of regularly updating critical land data to support sustainable watershed management and policy making.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-23
DOI
https://doi.org/10.1051/e3sconf/202568202001/pdf
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of built-up land incompatibility with land capability and its implications for critical land in the Serang Watershed

Widhi Himawan, Cynthia Permata Sari, Imam Wahyu Hidayat, Supriyadi Supriyadi
Springer Link (Chiba Institute of Technology)
Soil and Land Suitability Analysis
article

Evaluation of built-up land incompatibility with land capability and its implications for critical land in the Serang Watershed

Widhi Himawan, Cynthia Permata Sari, Imam Wahyu Hidayat, Supriyadi Supriyadi
article en

Abstract

The increase in population encourages land conversion from non- built-up land to built-up land. These conditions often do not consider the land's capability, resulting in an increase in land degradation. The Serang Watershed is one of 108 priority watersheds in Indonesia that require restoration, and is in a state of significant increase in land degradation due to rapid land conversion. Also, Climate change is one of the challenges that can contribute to the decline in watershed function and services. This study aims to analyze the impact of built-up land growth on critical land through land capability mapping. The Analytic Hierarchy Process (AHP) method was used to produce a land capability map, followed by a tiered overlay analysis with built-up land data from sentinel 2A image extraction and critical land data in 2022. The result was that 2,866.72 hectares of land that had exceeded its capability limit was still not classified as critical land, while another 6,113.03 hectares was only categorized as moderately critical despite having exceeded its capability limit. These findings highlight the importance of regularly updating critical land data to support sustainable watershed management and policy making.

Springer Link (Chiba Institute of Technology)
Lembaga Pengelola Dana Pendidikan
Life in Land
Openalex Percentile: Top 27%
Soil and Land Suitability Analysis
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.