Crop monitoring technology based on time series of satellite imagery

被引:0
|
作者
Kussul, Nataliia [1 ]
Shelestov, Andrii [1 ]
Yailymov, Bohdan [2 ]
Yailymova, Hanna [3 ]
Lavreniuk, Mykola [1 ]
Shumilo, Leonid [1 ]
Bilokonska, Yuliia [2 ]
机构
[1] Natl Tech Univ Ukraine, Igor Sikorsky Kyiv Polytech Inst, Space Res Inst NASU SSAU, Kiev, Ukraine
[2] Space Res Inst NASU SSAU, Kiev, Ukraine
[3] Taras Shevchenko Natl Univ Kyiv, Fac Comp Sci & Cybernet, Kiev, Ukraine
关键词
transparent land use; World Bank; satellite monitoring; big data; data analysis;
D O I
10.1109/dessert50317.2020.9125031
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Ukraine is on the verge of the land market opening. This process should begin in 2020, when free sale of land will be introduced. Now, only the land lease is officially allowed. To ensure transparency, equity and reliability of this process, objective information on real land use and its history, crop development state in each vegetation season is required. All these indicators significantly affect the market value of the land. However, there is no publicly available system in Ukraine with information on real land use and landowners. This information is only contained in the state cadaster system, which contains a lot of incorrect information, since land ownership acts were generated chiefly manually. These mistakes became obvious after the digitation process of state cadaster. Therefore, creation of the legal, technical and legislative prerequisites for the land market opening becomes an extremely important task, as well as the development of geospatial information system of real land use in Ukraine. The World Bank program "Supporting Transparent Land Governance in Ukraine" with financial support from the EU is aimed to address these issues.
引用
收藏
页码:346 / 350
页数:5
相关论文
共 50 条
  • [41] Monitoring forest dynamics with multi-scale and time series imagery
    Chunbo Huang
    Zhixiang Zhou
    Di Wang
    Yuanyong Dian
    [J]. Environmental Monitoring and Assessment, 2016, 188
  • [42] Monitoring forest dynamics with multi-scale and time series imagery
    Huang, Chunbo
    Zhou, Zhixiang
    Wang, Di
    Dian, Yuanyong
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (05)
  • [43] Enhancing Crop Segmentation in Satellite Image Time-Series with Transformer Networks
    Gallo, I.
    Gatti, M.
    Landro, N.
    Loschiavo, C.
    Boschetti, M.
    La Grassa, R.
    Rehman, A. U.
    [J]. SIXTEENTH INTERNATIONAL CONFERENCE ON MACHINE VISION, ICMV 2023, 2024, 13072
  • [44] Hybrid Methodology for the Estimation of Crop Coefficients Based on Satellite Imagery and Ground-Based Measurements
    Spiliotopoulos, Marios
    Loukas, Athanasios
    [J]. WATER, 2019, 11 (07)
  • [45] Advanced satellite imagery to classify sugarcane crop characteristics
    Y. L. Everingham
    K. H. Lowe
    D. A. Donald
    D. H. Coomans
    J. Markley
    [J]. Agronomy for Sustainable Development, 2007, 27 : 111 - 117
  • [46] IDENTIFYING AND MEASURING CROP TYPE USING SATELLITE IMAGERY
    HOFFMAN, RO
    EDWARDS, DM
    EUCKER, CC
    [J]. TRANSACTIONS OF THE ASAE, 1976, 19 (06): : 1066 - &
  • [47] Advanced satellite imagery to classify sugarcane crop characteristics
    Everingham, Y. L.
    Lowe, K. H.
    Donald, D. A.
    Coomans, D. H.
    Markley, J.
    [J]. AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2007, 27 (02) : 111 - 117
  • [48] Image masking for crop yield forecasting using AVHRR NDVI time series imagery
    Kastens, JH
    Kastens, TL
    Kastens, DLA
    Price, KP
    Martinko, EA
    Lee, RY
    [J]. REMOTE SENSING OF ENVIRONMENT, 2005, 99 (03) : 341 - 356
  • [49] Monitoring Trends in Light Pollution in China Based on Nighttime Satellite Imagery
    Han, Pengpeng
    Huang, Jinliang
    Li, Rendong
    Wang, Lihui
    Hu, Yanxia
    Wang, Jiuling
    Huang, Wei
    [J]. REMOTE SENSING, 2014, 6 (06): : 5541 - 5558
  • [50] Global clear sky near-surface imagery from multiple satellite daily imagery time series
    Mikelsons, Karlis
    Wang, Menghua
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 180 : 238 - 254