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Remote Sensing Letters Volume 7, 2016 - Issue 8
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Original Articles

On the relationships between satellite-based drought index and gross primary production in the North Korean croplands, 2000–2012

Soo-Jin LeeDepartment of Spatial Information Engineering, Pukyong National University, Busan, South KoreaView further author information
,
Jaeil ChoDivision of Plant Biotechnology, Chonnam National University, Gwangju, South KoreaView further author information
,
Sungwook HongDepartment of Environment, Energy, and Geoinfomatics, Sejong University, Seoul, South KoreaView further author information
,
Kyung-Ja HaDepartment of Atmospheric Sciences, Pusan National University, Busan, South KoreaView further author information
,
Hanlim LeeDepartment of Spatial Information Engineering, Pukyong National University, Busan, South KoreaView further author information
&
Yang-Won LeeDepartment of Spatial Information Engineering, Pukyong National University, Busan, South KoreaCorrespondence[email protected]
View further author information
Pages 790-799 | Received 09 Nov 2015, Accepted 03 May 2016, Published online: 26 May 2016

Citations (11)

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Charlotte Poussin, Alexandrine Massot, Christian Ginzler, Dominique Weber, Bruno Chatenoux, Pierre Lacroix, Thomas Piller, Liliane Nguyen & Gregory Giuliani. (2021) Drying conditions in Switzerland – indication from a 35-year Landsat time-series analysis of vegetation water content estimates to support SDGs. Big Earth Data 5:4, pages 445-475.
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Taosuo Wu, Haipeng Fu, Feng Feng & Hongmei Bai. (2019) A new approach to predict normalized difference vegetation index using time-delay neural network in the arid and semi-arid grassland. International Journal of Remote Sensing 40:23, pages 9050-9063.
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Articles from other publishers (9)

NATTAPONG PUTTANAPONG, NUTCHAPON PRASERTSOONG & WICHAYA PEECHAPAT. (2023) Predicting Provincial Gross Domestic Product Using Satellite Data and Machine Learning Methods: A Case Study of Thailand. Asian Development Review 40:02, pages 39-85.
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Fernando Salas-Martínez, Ofelia Andrea Valdés-Rodríguez, Olivia Margarita Palacios-Wassenaar, Aldo Márquez-Grajales & Leonardo Daniel Rodríguez-Hernández. (2023) Methodological estimation to quantify drought intensity based on the NDDI index with Landsat 8 multispectral images in the central zone of the Gulf of Mexico. Frontiers in Earth Science 11.
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LEONARDO F. MORAIS, ANA CLARA R. CAVALCANTE, RAFAEL N. FURTADO, ADRYANE GORAYEB, DEODATO DO NASCIMENTO AQUINO, FELIPE H. MEIRELES NOGUEIRA & MAGNO JOSÉ D. CÂNDIDO. (2023) Spatial and Temporal analysis (2008-2017) of droughts and their effects on livestock in the Brazilian semi-arid region. Anais da Academia Brasileira de Ciências 95:3.
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Wei Pei, Qiang Fu, Yongtai Ren & Tianxiao Li. (2022) Study on the agricultural crop drought index based on weights of growth stages. Hydrological Processes 36:6.
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Riantini Virtriana, Akhmad Riqqi, Tania Septi Anggraini, Kamal Nur Fauzan, Kalingga Titon Nur Ihsan, Fatwa Cahya Mustika, Deni Suwardhi, Agung Budi Harto, Anjar Dimara Sakti, Albertus Deliar, Budhy Soeksmantono & Ketut Wikantika. (2022) Development of Spatial Model for Food Security Prediction Using Remote Sensing Data in West Java, Indonesia. ISPRS International Journal of Geo-Information 11:5, pages 284.
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Nari Kim, Sang-Il Na, Chan-Won Park, Morang Huh, Jaiho Oh, Kyung-Ja Ha, Jaeil Cho & Yang-Won Lee. (2020) An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data. Applied Sciences 10:11, pages 3785.
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Junho Yeom, Jinha Jung, Anjin Chang, Akash Ashapure, Murilo Maeda, Andrea Maeda & Juan Landivar. (2019) Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture. Remote Sensing 11:13, pages 1548.
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Nari Kim, Kyung-Ja Ha, No-Wook Park, Jaeil Cho, Sungwook Hong & Yang-Won Lee. (2019) A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015. ISPRS International Journal of Geo-Information 8:5, pages 240.
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Jong-min Yeom, Seungtaek Jeong, Gwanyong Jeong, Chi Tim Ng, Ravinesh C. Deo & Jonghan Ko. (2018) Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model. Scientific Reports 8:1.
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