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
来源：
GEOMEDIA | 2012年 / 16卷 / 06期
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
  • [21] Determination of the soil parameters from multichannel remote sensing data
    Kulemin, Gennady
    TCSET 2006: MODERN PROBLEMS OF RADIO ENGINEERING, TELECOMMUNICATIONS AND COMPUTER SCIENCE, PROCEEDINGS, 2006, : 313 - 316
  • [22] FLOWER SPECIES IDENTIFICATION AND COVERAGE ESTIMATION BASED ON HYPERSPECTRAL REMOTE SENSING DATA
    Gai Yingying
    Fan Wenjie
    Xu Xiru
    Zhang Yuanzhen
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 1243 - 1246
  • [23] Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation
    Akbar, Ruzbeh
    Gianotti, Daniel Short
    McColl, Kaighin A.
    Haghighi, Erfan
    Salvucci, Guido D.
    Entekhabi, Dara
    WATER RESOURCES RESEARCH, 2018, 54 (03) : 1476 - 1492
  • [24] Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique
    Song, Peilin
    Zhang, Yongqiang
    Tian, Jing
    GEOPHYSICAL RESEARCH LETTERS, 2021, 48 (05)
  • [25] Daily GPP estimates in Mediterranean ecosystems by combining remote sensing and meteorological data
    Gilabert, M. A.
    Moreno, A.
    Maselli, F.
    Martinez, B.
    Chiesi, M.
    Sanchez-Ruiz, S.
    Garcia-Haro, F. J.
    Perez-Hoyos, A.
    Campos-Taberner, M.
    Perez-Priego, O.
    Serrano-Ortiz, P.
    Carrara, A.
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 102 : 184 - 197
  • [26] Comparison of satellite remote sensing derived precipitation estimates and observed data in Kenya
    Macharia, Joseph M.
    Ngetich, Felix K.
    Shisanya, Chris A.
    AGRICULTURAL AND FOREST METEOROLOGY, 2020, 284
  • [27] Clustering Tools for Integration of Satellite Remote Sensing Imagery and Proximal Soil Sensing Data
    Saifuzzaman, Md
    Adamchuk, Viacheslav
    Buelvas, Roberto
    Biswas, Asim
    Prasher, Shiv
    Rabe, Nicole
    Aspinall, Doug
    Ji, Wenjun
    REMOTE SENSING, 2019, 11 (09):
  • [28] Soil Zn Content Inversion by Hyperspectral Remote Sensing Data and Considering Soil Types
    Zhang Xia
    Wang Wei-hao
    Sun Wei-chao
    Ding Song-tao
    Wang Yi-bo
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43 (07) : 2019 - 2026
  • [29] 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
  • [30] 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
12345