Evidence map›Paper›PMID 42197898›Full record

ArticleSensors (Basel, Switzerland)2026

Multi-Source Remote Sensing and Ensemble Learning for Habitat Suitability Mapping of the Common Leopard (

Zeenat Dildar, Wenjiang Huang, Raza Ahmed, Zeeshan Khalid

Abstract read
In one paragraph

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

0numbers the graph read from it
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zeenat DildarState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Wenjiang HuangState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.ORCID 0000-0003-1710-8301
Raza AhmedState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.ORCID 0009-0007-1573-4188
Zeeshan KhalidWWF-Pakistan, Ferozepur Road, P.O. Box 5180, Lahore 54600, Pakistan.ORCID 0000-0002-6151-2056

Funding

Research on Remote Sensing Monitoring of Crop Growth and Disease and Pest under the Back-ground of Climate Change E44702010TSINO-EU Dragon 6 Proposal: Optical And Thermal Copernicus - Chinese Eodata For Analyzing The Driving Factors, Impacting On Food security And Quality ID 95250Sino-UK Crop Pest and Disease Forecasting & Management Joint Laboratory 183611ZYLH20240009
6 · The paper itself

Abstract

Remote sensing technologies provide valuable geospatial data for analyzing environmental conditions and for supporting spatial ecological modeling across large, heterogeneous landscapes. In this study, multi-source remote sensing-derived environmental variables were integrated with ensemble machine learning techniques to model the habitat suitability of the common leopard (

Indexed as

EcosystemPantheraRemote Sensing TechnologyAnimalsMachine LearningPakistanRandom Forestbiodiversity conservationcommon leopard (Panthera pardus)Earth observation dataensemble machine learninggeospatial analysishabitat mappinghabitat suitability modelingmountain ecosystemsremote sensingspatial ecological modeling

Identifiers

PMID42197898
PMCPMC13210786

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.