Spatio-Temporal Modeling of Land-Use/Land-Cover Change and Land Surface Temperature Using SVM and CA-Markov in Dilla Town, Ethiopia.

Tsion Ayalew Kebede, Wondimu Haimanote Gebremariam, Hiwot Yitayew Bogale, Talema Moged Reda, Muralitharan Jothimani

Abstract read

In one paragraph

Article in Global challenges (Hoboken, NJ), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tsion Ayalew KebedeDepartment of Land Administration and Surveying Dilla University Dilla Ethiopia.

Wondimu Haimanote GebremariamDepartment of Land Administration and Surveying Dilla University Dilla Ethiopia.

Hiwot Yitayew BogaleDepartment of Land Administration and Surveying Dilla University Dilla Ethiopia.

Talema Moged RedaDepartment of Remote Sensing Space Science and Geospatial Institute Addis Ababa Ethiopia.ORCID https://orcid.org/0000-0002-4320-7277

Muralitharan JothimaniDepartment of Geology College of Natural and Computational Sciences Arba Minch University Arba Minch Ethiopia.ORCID https://orcid.org/0000-0002-3766-0665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban expansion in Dilla Town, Ethiopia, has progressively reshaped local thermal conditions by replacing vegetation and cropland with impervious built-up surfaces. This study analyses how three decades of land-use/land-cover (LULC) change have modified land surface temperature (LST) and projects future thermal patterns. Landsat TM/ETM+/OLI imagery from 2001, 2011, and 2021 was classified into five LULC classes using a Support Vector Machine (overall accuracy 90.4-92.4%; κ = 0.88-0.90). LST was retrieved from thermal bands via a single-channel algorithm and related to NDVI and the Normalized Difference Built-up Index (NDBI). Between 2001 and 2021, the built-up area increased by ∼5.34 × 10

Indexed as

change detectionDilla, Ethiopiamachine learning classificationprediction modelingthermal remote sensingurban expansionurban heat island

Identifiers

PMID41971185

DOI10.1002/gch2.70103

PMCPMC13067069

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