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Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data

机译：通过耦合中间空间分辨率卫星图像和现场数据来检测地中海森林类型的烧伤严重程度

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Luigi Saulino; Angelo Rita; Antonello Migliozzi; Carmine Maffei; Emilia Allevato; Antonio Pietro Garonna; Antonio Saracino;
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机译：通过耦合高空间分辨率卫星图像和野外数据来检测北方森林的风扰严重程度和冠层异质性
2. Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest [J] . XUEXIA CHEN, JAMES E. VOGELMANN, MATTHEW ROLLINS, International journal of remote sensing . 2011,第23期

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3. Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification [J] . Aleksi Raesaenen, Markku Kuitunen, Erkki Tomppo, ISPRS Journal of Photogrammetry and Remote Sensing . 2014,第auga期

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4. Forest Type Classification Using Data Fusion of Multispectral and Panchromatic High-Resolution Satellite Imageries [C] . Naoko Kosaka, Tsuyoshi Akiyama, Bien Tsai, IEEE International Geoscience and Remote Sensing Symposium . 2005

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5. Twenty year (1984–2004) temporal and spatial burn severity patterns inferred from satellite imagery in the Gila National Forest, New Mexico [D] . Holden, Zachary Alan 2008

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8. Field Measurements for the Training and Validation of Burn Severity Maps from Spaceborne, Remotely Sensed Imagery. Final Project Report. Joint Fire Science Program-2001-2 [R] . Bobbe, T., Finco, M. V., Quayle, B., 2002

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Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data

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