Neslişah Civelek profile image
Neslişah Civelek Post Graduate CANAKKALE ONSEKIZ MART UNIVERSITY, DEPARTMENT OF GEOGRAPHIC INFORMATION TECHNOLOGIES (INTERDISCIPLINARY)
Publication 5 Review 0 CrossRef Cited 2
5 Publication
0 Review
2 CrossRef Cited
0009-0007-6077-7689

Research Fields

City and Regional Planning

Institution

CANAKKALE ONSEKIZ MART UNIVERSITY, DEPARTMENT OF GEOGRAPHIC INFORMATION TECHNOLOGIES (INTERDISCIPLINARY)

Popular Publications

Wheat and Barley Cultivated Area Determination Using NDVI Threshold Values and Google Earth Engine
Authors: Neslişah Civelek , Melis İnalpulat , Levent Genç
Published: 2025 , JOURNAL OF SCIENCE-TECHNOLOGY-INNOVATION ECOSYSTEM
DOI: -
CITED 0 FAVORITE 4 TOTAL DOWNLOAD COUNT 255

0

4

255

Agricultural Land Classification Using Vegetation Indices, PCA, and Google Earth Engine: Case Study of Söke/Aydın
Authors: Melis İnalpulat , Neslişah Civelek , Metin Uşaklı , Levent Genç
Published: 2023 , COMU Journal of Agriculture Faculty
DOI: 10.33202/comuagri.1295054
CITED 0 FAVORITE 2 TOTAL DOWNLOAD COUNT 751

0

2

751

Evaluation of Earthquake Impacts on Land Use and Land Cover (LU/LC) Using Google Earth Engine (GEE), Sentinel-2 Imageries, and Machine Learning: Case Study of Antakya
Authors: Neslişah Civelek , Melis İnalpulat , Levent Genç
Published: 2023 , Journal of Anatolian Environmental and Animal Sciences
DOI: 10.35229/jaes.1349826
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 795

2

1

795

Publications

Wheat yield prediction for sustainable food security using Sentinel-2 and machine learning
Authors: Neslişah Civelek , Levent Genç , Özgün Akçay
Published: 2026 , Turkish Journal of Remote Sensing
DOI: 10.51489/tuzal.1760511
FAVORITE 0 TOTAL DOWNLOAD COUNT 63

0

63

Predicting Winter Wheat Yield using Landsat 8-9 Based Vegetation Indices in Semi-Arid Regions
Authors: Neslişah Civelek , Levent Genç , Özgün Akçay
Published: 2025 , International Journal of Environment and Geoinformatics
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 449

0

449

Wheat and Barley Cultivated Area Determination Using NDVI Threshold Values and Google Earth Engine
Authors: Neslişah Civelek , Melis İnalpulat , Levent Genç
Published: 2025 , JOURNAL OF SCIENCE-TECHNOLOGY-INNOVATION ECOSYSTEM
DOI: -
FAVORITE 4 TOTAL DOWNLOAD COUNT 255

4

255

Evaluation of Earthquake Impacts on Land Use and Land Cover (LU/LC) Using Google Earth Engine (GEE), Sentinel-2 Imageries, and Machine Learning: Case Study of Antakya
Authors: Neslişah Civelek , Melis İnalpulat , Levent Genç
Published: 2023 , Journal of Anatolian Environmental and Animal Sciences
DOI: 10.35229/jaes.1349826
FAVORITE 1 TOTAL DOWNLOAD COUNT 795

1

795

Agricultural Land Classification Using Vegetation Indices, PCA, and Google Earth Engine: Case Study of Söke/Aydın
Authors: Melis İnalpulat , Neslişah Civelek , Metin Uşaklı , Levent Genç
Published: 2023 , COMU Journal of Agriculture Faculty
DOI: 10.33202/comuagri.1295054
FAVORITE 2 TOTAL DOWNLOAD COUNT 751

2

751

Articles published in
COMU Journal of Agriculture Faculty
COMU Journal of Agriculture Faculty
International Journal of Environment and Geoinformatics
International Journal of Environment and Geoinformatics
Journal of Anatolian Environmental and Animal Sciences
Journal of Anatolian Environmental and Animal Sciences
JOURNAL OF SCIENCE-TECHNOLOGY-INNOVATION ECOSYSTEM
JOURNAL OF SCIENCE-TECHNOLOGY-INNOVATION ECOSYSTEM
Turkish Journal of Remote Sensing
Turkish Journal of Remote Sensing
User doesn't have any peer review duties on DergiPark.

Publications

Evaluation of Earthquake Impacts on Land Use and Land Cover (LU/LC) Using Google Earth Engine (GEE), Sentinel-2 Imageries, and Machine Learning: Case Study of Antakya
Authors: Neslişah Civelek , Melis İnalpulat , Levent Genç
Published: 2023 , Journal of Anatolian Environmental and Animal Sciences
DOI: 10.35229/jaes.1349826
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 795

2

1

795

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.