sUAS-Based High-Resolution Mapping for the Habitat Quality Assessment of the Endangered Hoolock tianxing Gibbon

The endangered Gaoligong hoolock gibbon (Hoolock tianxing) faces significant threats from habitat degradation and loss, making accurate habitat assessment crucial for effective conservation. This study explored the effectiveness of high-resolution small unoccupied aerial system (sUAS) imagery for evaluating habitat quality, comparing its performance against Sentinel-2 satellite data. Focusing on the critically fragmented habitat of this primate in Yingjiang County, China, we aimed to (1) assess habitat quality at the patch level using a sUAS; (2) apply the InVEST Habitat Quality (IHQ) model; and (3) compare the effectiveness of sUAS and Sentinel-2 imagery, across different resolutions, for habitat quality evaluation. We utilized sUAS imagery (0.05 m resolution) obtained from a DJI Mavic 3 drone and Sentinel-2 data (10 m resolution) for a comparative analysis. The InVEST IHQ model was then used to analyze nine habitat patches, examining how data resolution impacts habitat quality assessments. Our results showed that habitat quality varied considerably across space, with lower quality observed near villages due to agricultural activity and infrastructure development. The sUAS imagery proved superior at capturing detailed landscape features and delineating small, fragmented patches compared to Sentinel-2. Furthermore, the sUAS achieved higher classification accuracy. Although both data sources indicated generally high habitat quality, Sentinel-2 tended to overestimate both habitat quality and degradation compared to the sUAS. High-resolution sUAS imagery therefore provides a clear advantage for detailed habitat quality assessment and targeted conservation planning, especially in fragmented landscapes. Integrating sUAS data with other remote sensing methods is essential to improve the protection of endangered primate habitats. This research emphasizes the value of sUAS for fine-scale habitat analysis, providing a strong scientific basis for developing targeted habitat restoration strategies and guiding conservation management.

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Publication Details

Journal
Forests
Published
2025-02-07
DOI
https://doi.org/10.3390/f16020285
Citations
2
Primary Topic
Primate Behavior and Ecology
Type
article
Field-Weighted Citation Impact
4.88

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article

sUAS-Based High-Resolution Mapping for the Habitat Quality Assessment of the Endangered Hoolock tianxing Gibbon

An-Ru Zuo, Xuelong Jiang, Qiangbang Gong, Kunrong Hu et al.
2 citations
Forests
Primate Behavior and Ecology
4.88
article

sUAS-Based High-Resolution Mapping for the Habitat Quality Assessment of the Endangered Hoolock tianxing Gibbon

An-Ru Zuo, Xuelong Jiang, Qiangbang Gong, Kunrong Hu, Peng Li, Lixiang Zhang, Zhenhua Guan, Ning Lu, Mengling Xu, Yongliang Zhu
article en
2 citations

Abstract

The endangered Gaoligong hoolock gibbon (Hoolock tianxing) faces significant threats from habitat degradation and loss, making accurate habitat assessment crucial for effective conservation. This study explored the effectiveness of high-resolution small unoccupied aerial system (sUAS) imagery for evaluating habitat quality, comparing its performance against Sentinel-2 satellite data. Focusing on the critically fragmented habitat of this primate in Yingjiang County, China, we aimed to (1) assess habitat quality at the patch level using a sUAS; (2) apply the InVEST Habitat Quality (IHQ) model; and (3) compare the effectiveness of sUAS and Sentinel-2 imagery, across different resolutions, for habitat quality evaluation. We utilized sUAS imagery (0.05 m resolution) obtained from a DJI Mavic 3 drone and Sentinel-2 data (10 m resolution) for a comparative analysis. The InVEST IHQ model was then used to analyze nine habitat patches, examining how data resolution impacts habitat quality assessments. Our results showed that habitat quality varied considerably across space, with lower quality observed near villages due to agricultural activity and infrastructure development. The sUAS imagery proved superior at capturing detailed landscape features and delineating small, fragmented patches compared to Sentinel-2. Furthermore, the sUAS achieved higher classification accuracy. Although both data sources indicated generally high habitat quality, Sentinel-2 tended to overestimate both habitat quality and degradation compared to the sUAS. High-resolution sUAS imagery therefore provides a clear advantage for detailed habitat quality assessment and targeted conservation planning, especially in fragmented landscapes. Integrating sUAS data with other remote sensing methods is essential to improve the protection of endangered primate habitats. This research emphasizes the value of sUAS for fine-scale habitat analysis, providing a strong scientific basis for developing targeted habitat restoration strategies and guiding conservation management.

ForestsVol. 16(2)
Kunming Institute of Zoology (CN), Chinese Academy of Sciences (CN), Southwest Forestry University (CN), State Forestry and Grassland Administration (CN), Yunnan Environmental Protection Bureau (CN)
National Forestry and Grassland Administration, Southwest Forestry University, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 7%
Primate Behavior and Ecology
4.88
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