Soil consumption estimates by coverage and remote sensing data

被引:0
|
作者
Munafo, Michele [1 ]
Lupia, Flavio [2 ]
Marinosci, Ines [1 ]
机构
[1] ISPRA, Via Vitaliano Brancati 48, I-00144 Rome, Italy
[2] INEA, I-00161 Rome, Italy
关键词
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Agricultural and natural areas conversion into urban areas is a progressive and irreversible process that has various negative impacts on the environmental, economic and social sphere. Nowadays, the process named "land take"is becoming relevant and it is receiving finally adequate consideration from decision makers and therefore it is starting to be deeply analyzed. The availability of multi-temporal land use/cover and satellite imaging enables the spatiotemporal evaluation and measurement of the phenomenon with different degrees of resolution.
引用
收藏
页码:38 / 40
页数:3
相关论文
共 50 条
  • [31] Soil Moisture Retrieval by Active/Passive Microwave Remote Sensing Data
    Wu, Shengli
    Yang, Lijuan
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XIV, 2012, 8531
  • [32] Spatial variability of soil organic matter using remote sensing data
    Mirzaee, S.
    Ghorbani-Dashtaki, S.
    Mohammadi, J.
    Asadi, H.
    Asadzadeh, F.
    CATENA, 2016, 145 : 118 - 127
  • [33] Mapping Brazilian soil mineralogy using proximal and remote sensing data
    Rosin, Nicolas Augusto
    Dematte, Jose A. M.
    Poppiel, Raul Roberto
    Silvero, Nelida E. Q.
    Rodriguez-Albarracin, Heidy S.
    Rosas, Jorge Tadeu Fim
    Greschuk, Lucas Tadeu
    Bellinaso, Henrique
    Minasny, Budiman
    Gomez, Cecile
    Marques Junior, Jose
    Fernandes, Kathleen
    GEODERMA, 2023, 432
  • [34] Estimation Method of Soil Salinity Based on Remote Sensing Data Assimilation
    Zhang Z.
    Huang X.
    Chen Q.
    Zhang J.
    Tai X.
    Han J.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 (07): : 197 - 207
  • [35] Estimation of soil types by non linear analysis of remote sensing data
    Hahn, C.
    Gloaguen, R.
    NONLINEAR PROCESSES IN GEOPHYSICS, 2008, 15 (01) : 115 - 126
  • [36] Control of the State of Agrocenosis and Soil Environment According to Remote Sensing Data
    Mikhailenko, I. M.
    Timoshin, V. N.
    CYBERNETICS AND CONTROL THEORY IN SYSTEMS, VOL 2, CSOC 2024, 2024, 1119 : 88 - 103
  • [37] ESTIMATION OF PARAMETERS OF STATE OF CROPS AND SOIL ENVIRONMENT TO REMOTE SENSING DATA
    Mikhailenko, Ilya
    Timoshin, Valeriy
    19TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT, 2020, : 153 - 164
  • [38] Use of the Earth Remote Sensing data for the monitoring of the level of soil fertility
    Gulnara, Kabzhanova
    Kazbek, Baktybekov
    Gulzhiyan, Kabdulova
    Aidyn, Aimbetov
    Linara, Aligazhiyeva
    EIGHTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2020), 2020, 11524
  • [39] Soil Type Classification and Mapping using Hyperspectral Remote Sensing Data
    Vibhute, Amol D.
    Kale, K. V.
    Dhumal, Rajesh K.
    Mehrotra, S. C.
    PROCEEDINGS 2015 INTERNATIONAL CONFERENCE ON MAN AND MACHINE INTERFACING (MAMI), 2015,
  • [40] Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data
    Hobbs, Jonathan
    Katzfuss, Matthias
    Nguyen, Hai
    Yadav, Vineet
    Liu, Junjie
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2024, 17 (03) : 1133 - 1151