Analysis of the impact on vegetation caused by abrupt deforestation via orbital sensor in the environmental disaster of Mariana, Brazil

[1]  Jian Yang,et al.  Mining Site Reclamation Planning Based on Land Suitability Analysis and Ecosystem Services Evaluation: A Case Study in Liaoning Province, China , 2017 .

[2]  Junjie Wang,et al.  Assessing Re-Composition of Xing'an Larch in Boreal Forests after the 1987 Fire, Northeast China , 2017, Remote. Sens..

[3]  Yunhong Wang,et al.  Unsupervised Change Detection for Multispectral Remote Sensing Images Using Random Walks , 2017, Remote. Sens..

[4]  Víctor J García,et al.  Land Cover Classification in an Ecuadorian Mountain Geosystem Using a Random Forest Classifier, Spectral Vegetation Indices, and Ancillary Geographic Data , 2017 .

[5]  Luciano Vieira Dutra,et al.  Examining Spatial Distribution and Dynamic Change of Urban Land Covers in the Brazilian Amazon Using Multitemporal Multisensor High Spatial Resolution Satellite Imagery , 2017, Remote. Sens..

[6]  Han-Sol Ryu,et al.  Flood Monitoring Using Satellite-Based RGB Composite Imagery and Refractive Index Retrieval in Visible and Near-Infrared Bands , 2017, Remote. Sens..

[7]  Shuhe Zhao,et al.  A Bi-Band Binary Mask Based Land-Use Change Detection Using Landsat 8 OLI Imagery , 2017 .

[8]  Antonio J. Plaza,et al.  Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery , 2016, Remote. Sens..

[9]  Antônio Carlos,et al.  Comparison of mapping soybean areas in Brazil through perceptron neural networks and vegetation indices , 2016 .

[10]  Qiuyan Yu,et al.  Feasibility Study of Land Cover Classification Based on Normalized Difference Vegetation Index for Landslide Risk Assessment , 2016 .

[11]  C. M. Bhatt,et al.  Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data , 2016 .

[12]  J. Subić,et al.  Sustainable Land Management in Mining Areas in Serbia and Romania , 2015 .

[13]  Xiaolian Li,et al.  Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data , 2015, Remote. Sens..

[14]  Birgit Kleinschmit,et al.  Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data , 2014, Remote. Sens..

[15]  J. Stape,et al.  Köppen's climate classification map for Brazil , 2013 .

[16]  Leon Bren,et al.  Remote sensing of post-fire vegetation recovery; a study using Landsat 5 TM imagery and NDVI in North-East Victoria , 2012 .

[17]  L. Lanhai,et al.  SOIL DEGRADATION AND ALTERED FLOOD RISK AS A CONSEQUENCE OF DEFORESTATION , 2011 .

[18]  K. Omasa,et al.  Accuracy and applicability of linear spectral unmixing in delineating potential erosion areas in tropical watersheds , 2008 .

[19]  T. Gillespie,et al.  Assessment and prediction of natural hazards from satellite imagery , 2007, Progress in physical geography.

[20]  Tamás Meggyes,et al.  Enhancing the Safety of Tailings Management Facilities , 2007 .

[21]  Renato Machado Cotta,et al.  Assessment of the mineral industry NORM/TENORM disposal in hazardous landfills. , 2007, Journal of hazardous materials.

[22]  M. Wong,et al.  Detection and interpretation of landslides using satellite images , 2005 .

[23]  H. J. van Niekerk,et al.  Causes and consequences of the Merriespruit and other tailings‐dam failures , 2005 .

[24]  Y. Shimabukuro,et al.  Fraction images in multitemporal change detection , 2004 .

[25]  Pol Coppin,et al.  Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .

[26]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[27]  A. Huete,et al.  Optical-Biophysical Relationships of Vegetation Spectra without Background Contamination , 2000 .

[28]  Alan H. Strahler,et al.  The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..

[29]  A. Huete,et al.  A comparison of vegetation indices over a global set of TM images for EOS-MODIS , 1997 .

[30]  A. Gitelson,et al.  Use of a green channel in remote sensing of global vegetation from EOS- MODIS , 1996 .

[31]  Asmeret Asefaw Berhe,et al.  The contribution of landmines to land degradation , 2007 .

[32]  C. V. van Westen The Modelling Of Landslide Hazards Using Gis , 2000 .

[33]  Yosio Edemir Shimabukuro,et al.  The least-squares mixing models to generate fraction images derived from remote sensing multispectral data , 1991, IEEE Trans. Geosci. Remote. Sens..

[34]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .