Monitoring of agricultural drought in Turkey with remote sensing data by use of Google Earth Engine

被引:0
|
作者
Gul, Gulay Onusluel [1 ]
机构
[1] Dokuz Eylul Univ, İnsaat Muhendisligi Bolumu, Muhendislik Fak, Izmir, Turkiye
关键词
Drought; Remote sensing; Google Earth Engine (GEE); Temperature condition index (TCI); Vegetation condition index (VCI); Vegetation health index (VHI); UNITED-STATES; TEMPERATURE; IMPACT; NDVI;
D O I
10.5505/pajes.2023.41762
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Studies on drought, which can have quite complex and devastating effects due to a number of interrelated factors, are developing continuously in order to eliminate the consequences of such a natural disaster and even further to facilitate actions for taking timely measures. This study, which is carried out in this holistic framework, is based upon the temporal and spatial assessment of drought phenomenon on the Google Earth Engine (GEE) platform through the use of remotely -sensed data. For this purpose, Temperature Condition Index (TCI), Vegetation Condition Index (VCI) and Vegetation Health Index (VHI) were calculated both for the recent period (2018-2021) and the previous periods (the years 2002, 2005, 2010 and 2015) examined through July and January months and the agricultural drought situation was revealed in this way.
引用
收藏
页码:66 / 75
页数:10
相关论文
共 50 条
  • [1] Benefits of Google Earth Engine in remote sensing
    Wang X.
    Tian J.
    Li X.
    Wang L.
    Gong H.
    Chen B.
    Li X.
    Guo J.
    National Remote Sensing Bulletin, 2022, 26 (02) : 299 - 309
  • [2] Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine
    Imtiaz, Fatima
    Farooque, Aitazaz A.
    Randhawa, Gurjit S.
    Garmdareh, Seyyed Ebrahim Hashemi
    Wang, Xiuquan
    Esau, Travis J.
    Acharya, Bishnu
    Sadiq, Rehan
    ECOLOGICAL INFORMATICS, 2025, 86
  • [3] Advance in Agricultural Drought Monitoring Using Remote Sensing Data
    Yao Yuan
    Chen Xi
    Qian Jing
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39 (04) : 1005 - 1012
  • [4] Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine
    Farhan, Muhammad
    Wu, Taixia
    Amin, Muhammad
    Tariq, Aqil
    Guluzade, Rufat
    Alzahrani, Hassan
    PHYSICS AND CHEMISTRY OF THE EARTH, 2024, 136
  • [5] Establishment of a Comprehensive Drought Monitoring Index Based on Multisource Remote Sensing Data and Agricultural Drought Monitoring
    Zhang, Zhaoxu
    Xu, Wei
    Shi, Zhenwei
    Qin, Qiming
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 2113 - 2126
  • [6] EXPLOITATION OF ESA AND NASA HERITAGE REMOTE SENSING DATA FOR MONITORING THE HEAT ISLAND EVOLUTION IN CHENNAI WITH THE GOOGLE EARTH ENGINE
    Cecinati, Francesca
    Amitrano, Donato
    Leoncio, Lemia Benevides
    Walugendo, Elvis
    Guida, Raffaella
    Iervolino, Pasquale
    Natarajan, Sukumar
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 6328 - 6331
  • [7] Agricultural Drought Monitoring Using Web-Serviced Remote Sensing Data
    Yang Shao-E
    Wu Bing-fang
    2010 INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING: IC4E 2010, PROCEEDINGS, 2010, : 532 - 535
  • [8] Agricultural Drought Monitoring by MODIS Potential Evapotranspiration Remote Sensing Data Application
    Szewczak, Kamil
    Los, Helena
    Pudelko, Rafal
    Doroszewski, Andrzej
    Gluba, Lukasz
    Lukowski, Mateusz
    Rafalska-Przysucha, Anna
    Slominski, Jan
    Usowicz, Boguslaw
    REMOTE SENSING, 2020, 12 (20) : 1 - 18
  • [9] Monitoring agricultural and meteorological drought using remote sensing
    Imzahim A. Alwan
    Abdulrazzak T. Ziboon
    Alaa G. Khalaf
    Quoc Bao Pham
    Duong Tran Anh
    Khaled Mohamed Khedher
    Arabian Journal of Geosciences, 2022, 15 (2)
  • [10] Optical and Thermal Remote Sensing for Monitoring Agricultural Drought
    Qin, Qiming
    Wu, Zihua
    Zhang, Tianyuan
    Sagan, Vasit
    Zhang, Zhaoxu
    Zhang, Yao
    Zhang, Chengye
    Ren, Huazhong
    Sun, Yuanheng
    Xu, Wei
    Zhao, Cong
    REMOTE SENSING, 2021, 13 (24)