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Volumn 20, Issue 1, 2012, Pages 1-3

Geospatial analysis from space: Advanced approaches for data processing, information extraction and interpretation

Author keywords

[No Author keywords available]

Indexed keywords

DATA INTERPRETATION; DATA PROCESSING; SPACE TECHNOLOGY; SPATIAL ANALYSIS;

EID: 84872761336     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.01.008     Document Type: Editorial
Times cited : (8)

References (8)
  • 1
    • 85121947817 scopus 로고    scopus 로고
    • Assessment of the abnormal growth of floating macrophytes in Winam Gulf (Kenya) by using MODIS imagery time series
    • Fusilli, L., Cavalli, R.M., Collins, M.O., Laneve, G., Palombo, A., Pignatti, S., Santini, F., 2013. Assessment of the abnormal growth of floating macrophytes in Winam Gulf (Kenya) by using MODIS imagery time series. JAG 20, 33-41.
    • (2013) JAG , vol.20 , pp. 33-41
    • Fusilli, L.1    Cavalli, R.M.2    Collins, M.O.3    Laneve, G.4    Palombo, A.5    Pignatti, S.6    Santini, F.7
  • 2
    • 84861190465 scopus 로고    scopus 로고
    • Studying interactions between climate variability and vegetation dynamic using a phenology based approach
    • Horion, S., Cornet, Y., Erpicum, M., Tychon, B., 2013. Studying interactions between climate variability and vegetation dynamic using a phenology based approach. JAG 20, 20-32.
    • (2013) JAG , vol.20 , pp. 20-32
    • Horion, S.1    Cornet, Y.2    Erpicum, M.3    Tychon, B.4
  • 3
    • 84863960560 scopus 로고    scopus 로고
    • Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis
    • Lanorte, A., Danese, M., Lasaponara, R., Murgante, B., 2013. Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis. JAG 20, 42-51.
    • (2013) JAG , vol.20 , pp. 42-51
    • Lanorte, A.1    Danese, M.2    Lasaponara, R.3    Murgante, B.4
  • 4
    • 84872821160 scopus 로고    scopus 로고
    • Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery
    • Mitri, G., Gitas, I., 2013. Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery. JAG 20, 60-66.
    • (2013) JAG , vol.20 , pp. 60-66
    • Mitri, G.1    Gitas, I.2
  • 5
    • 84872775241 scopus 로고    scopus 로고
    • Towards a pan-European burnt scar mapping methodology based on single date high resolution optical remote sensing data
    • Sedano, F., Kempeneers, P., Miguel, J.S., Strobl, P., Vogt, P., 2013. Towards a pan-European burnt scar mapping methodology based on single date high resolution optical remote sensing data. JAG 20, 52-59.
    • (2013) JAG , vol.20 , pp. 52-59
    • Sedano, F.1    Kempeneers, P.2    Miguel, J.S.3    Strobl, P.4    Vogt, P.5
  • 6
    • 84872765710 scopus 로고    scopus 로고
    • Analysis of position time series of GPS-DORIS collocated stations
    • Khelifa, S., Kahlouche, S., Belbachir, M.F., 2013. Analysis of position time series of GPS-DORIS collocated stations. JAG 20, 67-76.
    • (2013) JAG , vol.20 , pp. 67-76
    • Khelifa, S.1    Kahlouche, S.2    Belbachir, M.F.3
  • 7
    • 84872761303 scopus 로고    scopus 로고
    • Spatiotemporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains
    • Van De Kerchove, R., Lhermitte, S., Veraverbeke, S., Goossens, R., 2013. Spatiotemporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains. JAG 20, 4-19.
    • (2013) JAG , vol.20 , pp. 4-19
    • Van De Kerchove, R.1    Lhermitte, S.2    Veraverbeke, S.3    Goossens, R.4
  • 8
    • 84863479380 scopus 로고    scopus 로고
    • Supervised change detection in VHR images using contextual information and support vector machines
    • Volpi, M., Tuia, D., Bovolo, F., Kanevski, M., Bruzzone, L., 2013. Supervised change detection in VHR images using contextual information and support vector machines. JAG 20, 77-85.
    • (2013) JAG , vol.20 , pp. 77-85
    • Volpi, M.1    Tuia, D.2    Bovolo, F.3    Kanevski, M.4    Bruzzone, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.