22.5.9.6 Forest Change Evaluation, Change Detection, Temporal Analysis

Chapter Contents (Back)
Forest. Change Detection. Deforestation. See also Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment.

Muchoney, D.M., Haack, B.N.,
Change Detection For Monitoring Forest Defoliation,
PhEngRS(60), No. 10, October 1994, pp. 1243-1251. BibRef 9410

Cohen, W., Fiorella, M., Gray, J., Helmer, E., and Anderson, K.,
An efficient and accurate method for mapping forest clearcuts in the Pacific northwest using Landsat imagery,
PhEngRS(64), 1998, pp. 293-300. BibRef 9800

Coppin, P., and Bauer, M.,
Digital change detection in forest ecosystems with remote sensing imagery,
Remote Sens. Rev.(13), 1996, pp. 207-234. BibRef 9600

Hame, T., Heiler, I., San Miguel-Ayanz, J.,
An Unsupervised Change Detection and Recognition System for Forestry,
JRS(19), No. 6, April 1998, pp. 1079-1099. 9805
BibRef

Song, C.H.[Cong-He], Woodcock, C.E.,
Monitoring forest succession with multitemporal landsat images: Factors of Uncertainty,
GeoRS(41), No. 11, November 2003, pp. 2557-2567.
IEEE Abstract. 0311
BibRef

Peddle, D.R., Franklin, S.E., Johnson, R.L., Lavigne, M.B., Wulder, M.A.,
Structural change detection in a disturbed conifer forest using a geometric optical reflectance model in multiple-forward mode,
GeoRS(41), No. 1, January 2003, pp. 163-166.
IEEE DOI 0304
BibRef

Maselli, F., Moriondo, M., Chiesi, M., Chirici, G., Puletti, N., Barbati, A., Corona, P.,
Evaluating the Effects of Environmental Changes on the Gross Primary Production of Italian Forests,
RS(1), No. 4, December 2009, pp. 1108-1124.
DOI Link 1203
BibRef

Battista, P.[Piero], Chiesi, M.[Marta], Rapi, B.[Bernardo], Romani, M.[Maurizio], Cantini, C.[Claudio], Giovannelli, A.[Alessio], Cocozza, C.[Claudia], Tognetti, R.[Roberto], Maselli, F.[Fabio],
Integration of Ground and Multi-Resolution Satellite Data for Predicting the Water Balance of a Mediterranean Two-Layer Agro-Ecosystem,
RS(8), No. 9, 2016, pp. 731.
DOI Link 1610
BibRef

Eva, H.[Hugh], Carboni, S.[Silvia], Achard, F.[Frederic], Stach, N.[Nicolas], Durieux, L.[Laurent], Faure, J.F.[Jean-Francois], Mollicone, D.[Danilo],
Monitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery,
PandRS(65), No. 2, March 2010, pp. 191-197.
Elsevier DOI 1003
Forestry; Change detection; Sampling; Landsat; SPOT BibRef

Eva, H., Achard, F., Beuchle, R., de Miranda, E., Carboni, S., Seliger, R., Vollmar, M., Holler, W., Oshiro, O., Barrena Arroyo, V., Gallego, J.,
Forest Cover Changes in Tropical South and Central America from 1990 to 2005 and Related Carbon Emissions and Removals,
RS(4), No. 5, May 2012, pp. 1369-1391.
DOI Link 1205
BibRef

Somers, B., Asner, G.,
Hyperspectral Time Series Analysis of Native and Invasive Species in Hawaiian Rainforests,
RS(4), No. 9, September 2012, pp. 2510-2529.
DOI Link 1210
BibRef

Adhikari, S., Southworth, J.,
Simulating Forest Cover Changes of Bannerghatta National Park Based on a CA-Markov Model: A Remote Sensing Approach,
RS(4), No. 10, October 2012, pp. 3215-3243.
DOI Link 1210
BibRef

Canavesi, V., Alvalá, R.,
Changes in Vegetation Cover in Reforested Areas in the State of São Paulo, Brazil and the Implication for Landslide Processes,
IJGI(1), No. 2, 2012, pp. 209-227.
DOI Link 1210
BibRef

Frolking, S., Hagen, S., Milliman, T., Palace, M., Shimbo, J.Z., Fahnestock, M.,
Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000-2009 With the SeaWinds Ku-Band Scatterometer,
GeoRS(50), No. 7, July 2012, pp. 2603-2617.
IEEE DOI 1208
BibRef

Bodart, C.[Catherine], Eva, H.[Hugh], Beuchle, R.[René], Raši, R.[Rastislav], Simonetti, D.[Dario], Stibig, H.J.[Hans-Jürgen], Brink, A.[Andreas], Lindquist, E.[Erik], Achard, F.[Frédéric],
Pre-processing of a sample of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics,
PandRS(66), No. 5, September 2011, pp. 555-563.
Elsevier DOI 1110
Forestry; Calibration; Matching; Landsat; Global BibRef

Günthert, S.[Sebastian], Wieland, M.[Marc], Siegmund, A.[Alexander],
Change Detection Analysis for Assessing the Vulnerability and Protective Effect of Beach Forests in Case of the Tsunami 2004 in Thailand,
PFG(2011), No. 4, 2011, pp. 247-260.
WWW Link. 1211
BibRef

Frate, L., Carranza, M.,
Quantifying Landscape-Scale Patterns of Temperate Forests over Time by Means of Neutral Simulation Models,
IJGI(2), No. 1, 2013, pp. 94-109.
DOI Link 1303
BibRef

Giree, N., Stehman, S., Potapov, P., Hansen, M.,
A Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005,
RS(5), No. 4, April 2013, pp. 1842-1855.
DOI Link 1305
BibRef

Tian, J.J., Reinartz, P., d'Angelo, P., Ehlers, M.,
Region-Based Automatic Building and Forest Change Detection on Cartosat-1 Stereo Imagery,
PandRS(79), No. 1, May 2013, pp. 226-239.
Elsevier DOI 1305
Stereo imagery; Digital Surface Model (DSM); Change detection; Forest change; Industrial area change BibRef

d'Angelo, P., Kuschk, G., Reinartz, P.,
Evaluation of Skybox Video and Still Image products,
LandImaging14(95-99).
DOI Link 1411
BibRef

Tian, J.J.[Jiao-Jiao], Cui, S.Y.[Shi-Yong], Reinartz, P.,
Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models,
GeoRS(52), No. 1, January 2014, pp. 406-417.
IEEE DOI 1402
feature extraction BibRef

Tian, J.J., Leitloff, J., Krauß, T., Reinartz, P.,
Region Based Forest Change Detection from CARTOSAT-1 Stereo Imagery,
HighRes11(xx-yy).
PDF File. 1106
See also Comparison of Two Fusion Based Building Change Detection Methods Using Satellite Stereo Imagery and DSMS. BibRef

Solberg, S.[Svein], Astrup, R.[Rasmus], Weydahl, D.J.[Dan J.],
Detection of Forest Clear-Cuts with Shuttle Radar Topography Mission (SRTM) and Tandem-X InSAR Data,
RS(5), No. 11, 2013, pp. 5449-5462.
DOI Link 1312
BibRef

Souza, Jr., C.M.[Carlos M.], Siqueira, J.V.[João V.], Sales, M.H.[Marcio H.], Fonseca, A.V.[Antônio V.], Ribeiro, J.G.[Júlia G.], Numata, I.[Izaya], Cochrane, M.A.[Mark A.], Barber, C.P.[Christopher P.], Roberts, D.A.[Dar A.], Barlow, J.[Jos],
Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon,
RS(5), No. 11, 2013, pp. 5493-5513.
DOI Link 1312
BibRef

Oumar, Z.[Zakariyyaa], Mutanga, O.[Onisimo],
Integrating environmental variables and WorldView-2 image data to improve the prediction and mapping of Thaumastocoris peregrinus (bronze bug) damage in plantation forests,
PandRS(87), No. 1, 2014, pp. 39-46.
Elsevier DOI 1402
Thaumastocoris peregrinus BibRef

Hamunyela, E.[Eliakim], Verbesselt, J.[Jan], Roerink, G.[Gerbert], Herold, M.[Martin],
Trends in Spring Phenology of Western European Deciduous Forests,
RS(5), No. 12, 2013, pp. 6159-6179.
DOI Link 1412
BibRef

Hirschmugl, M.[Manuela], Steinegger, M.[Martin], Gallaun, H.[Heinz], Schardt, M.[Mathias],
Mapping Forest Degradation due to Selective Logging by Means of Time Series Analysis: Case Studies in Central Africa,
RS(6), No. 1, 2014, pp. 756-775.
DOI Link 1402
BibRef

Abdel-Rahman, E.M.[Elfatih M.], Mutanga, O.[Onisimo], Adam, E.[Elhadi], Ismail, R.[Riyad],
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers,
PandRS(88), No. 1, 2014, pp. 48-59.
Elsevier DOI 1402
Sirex grey stage BibRef

Wang, Q.[Qian], Zhang, L.F.[Li-Fu], Wu, T.X.[Tai-Xia], Cen, Y.[Yi], Huang, C.P.[Chang-Ping], Tong, Q.X.[Qing-Xi],
Evaluation of Multiple Spring Phenological Indicators of Yearly GPP and NEP at Three Canadian Forest Sites,
RS(6), No. 3, 2014, pp. 1991-2007.
DOI Link 1404
BibRef

Neigh, C.S.R.[Christopher S.R.], Bolton, D.K.[Douglas K.], Diabate, M.[Mouhamad], Williams, J.J.[Jennifer J.], Carvalhais, N.[Nuno],
An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data,
RS(6), No. 4, 2014, pp. 2782-2808.
DOI Link 1405
BibRef

Tian, J., Nielsen, A.A., Reinartz, P.,
Improving Change Detection in Forest Areas Based on Stereo Panchromatic Imagery Using Kernel MNF,
GeoRS(52), No. 11, November 2014, pp. 7130-7139.
IEEE DOI 1407
Accuracy BibRef

Chen, D.[Dong], Loboda, T.[Tatiana], Channan, S.[Saurabh], Hoffman-Hall, A.[Amanda],
Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data,
RS(6), No. 7, 2014, pp. 6020-6038.
DOI Link 1408
BibRef

Chen, F.L.[Fu-Long], Guo, H.D.[Hua-Dong], Ishwaran, N.[Natarajan], Zhou, W.[Wei], Yang, R.X.[Rui-Xia], Jing, L.H.[Lin-Hai], Chen, F.[Fang], Zeng, H.C.[Hong-Cheng],
Synthetic Aperture Radar (SAR) Interferometry for Assessing Wenchuan Earthquake (2008) Deforestation in the Sichuan Giant Panda Site,
RS(6), No. 7, 2014, pp. 6283-6299.
DOI Link 1408
BibRef

Adelabu, S.[Samuel], Mutanga, O.[Onisimo], Adam, E.[Elhadi],
Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels,
PandRS(95), No. 1, 2014, pp. 34-41.
Elsevier DOI 1408
Random forest BibRef

Song, X.P.[Xiao-Peng], Huang, C.Q.[Cheng-Quan], Sexton, J.O.[Joseph O.], Channan, S.[Saurabh], Townshend, J.R.[John R.],
Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover,
RS(6), No. 9, 2014, pp. 8878-8903.
DOI Link 1410
BibRef

Zhu, X.L.[Xiao-Lin], Liu, D.[Desheng],
Accurate Mapping of Forest Types Using Dense Seasonal Landsat Time-Series,
PandRS(96), No. 1, 2014, pp. 1-11.
Elsevier DOI 1410
Forest types See also Improving Forest Aboveground Biomass Estimation Using Seasonal Landsat NDVI Time-Series. BibRef

Cai, H.Y.[Hong-Yan], Yang, X.H.[Xiao-Huan], Wang, K.[Kejing], Xiao, L.L.[Lin-Lin],
Is Forest Restoration in the Southwest China Karst Promoted Mainly by Climate Change or Human-Induced Factors?,
RS(6), No. 10, 2014, pp. 9895-9910.
DOI Link 1411
BibRef

Frate, L.[Ludovico], Saura, S.[Santiago], Minotti, M.[Michele], Martino, P.D.[Paolo Di], Giancola, C.[Carmen], Carranza, M.L.[Maria Laura],
Quantifying Forest Spatial Pattern Trends at Multiple Extents: An Approach to Detect Significant Changes at Different Scales,
RS(6), No. 10, 2014, pp. 9298-9315.
DOI Link 1411
BibRef

Wylie, B.[Bruce], Rigge, M.[Matthew], Brisco, B.[Brian], Murnaghan, K.[Kevin], Rover, J.[Jennifer], Long, J.[Jordan],
Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest,
RS(6), No. 10, 2014, pp. 9145-9169.
DOI Link 1411
BibRef

Immitzer, M.[Markus], Atzberger, C.[Clement],
Early Detection of Bark Beetle Infestation in Norway Spruce (Picea abies, L.) using WorldView-2 Data,
PFG(2014), No. 5, 2014, pp. 351-367.
DOI Link 1411
BibRef

Liang, L.[Lu], Chen, Y.L.[Yan-Lei], Hawbaker, T.J.[Todd J.], Zhu, Z.L.[Zhi-Liang], Gong, P.[Peng],
Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data,
RS(6), No. 6, 2014, pp. 5696-5716.
DOI Link 1407
BibRef

Liu, J.[Jia], Rambal, S.[Serge], Mouillot, F.[Florent],
Soil Drought Anomalies in MODIS GPP of a Mediterranean Broadleaved Evergreen Forest,
RS(7), No. 1, 2015, pp. 1154-1180.
DOI Link 1502
BibRef

van Deventer, H., Cho, M.A., Mutanga, O., Ramoelo, A.,
Capability of models to predict leaf N and P across four seasons for six sub-tropical forest evergreen trees,
PandRS(101), No. 1, 2015, pp. 209-220.
Elsevier DOI 1503
Foliar N and P BibRef

Gao, T.[Tian], Zhu, J.J.[Jiao-Jun], Zheng, X.[Xiao], Shang, G.[Guiduo], Huang, L.Y.[Li-Yan], Wu, S.[Shangrong],
Mapping Spatial Distribution of Larch Plantations from Multi-Seasonal Landsat-8 OLI Imagery and Multi-Scale Textures Using Random Forests,
RS(7), No. 2, 2015, pp. 1702-1720.
DOI Link 1503
BibRef

Song, D.X.[Dan-Xia], Huang, C.[Chengquan], Sexton, J.O.[Joseph O.], Channan, S.[Saurabh], Feng, M.[Min], Townshend, J.R.[John R.],
Use of Landsat and Corona data for mapping forest cover change from the mid-1960s to 2000s: Case studies from the Eastern United States and Central Brazil,
PandRS(103), No. 1, 2015, pp. 81-92.
Elsevier DOI 1504
Corona BibRef

Lui, G.V.[Gillian V.], Coomes, D.A.[David A.],
A Comparison of Novel Optical Remote Sensing-Based Technologies for Forest-Cover/Change Monitoring,
RS(7), No. 3, 2015, pp. 2781-2807.
DOI Link 1504
BibRef

Lambert, J.[Jonas], Denux, J.P.[Jean-Philippe], Verbesselt, J.[Jan], Balent, G.[Gérard], Cheret, V.[Véronique],
Detecting Clear-Cuts and Decreases in Forest Vitality Using MODIS NDVI Time Series,
RS(7), No. 4, 2015, pp. 3588-3612.
DOI Link 1505
BibRef

Reiche, J.[Johannes], de Bruin, S.[Sytze], Hoekman, D.[Dirk], Verbesselt, J.[Jan], Herold, M.[Martin],
A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection,
RS(7), No. 5, 2015, pp. 4973-4996.
DOI Link 1506
BibRef

Hamunyela, E.[Eliakim], Reiche, J.[Johannes], Verbesselt, J.[Jan], Herold, M.[Martin],
Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Thonfeld, F.[Frank], Hecheltjen, A.[Antje], Menz, G.[Gunter],
Bi-temporal Change Detection, Change Trajectories and Time Series Analysis for Forest Monitoring,
PFG(2015), No. 2, 2015, pp. 129-141.
DOI Link 1506
BibRef

Shimada, M.[Masanobu], Itoh, T.[Takuya], Motooka, T.[Takeshi], Watanabe, M.[Manabu], Thapa, R.[Rajesh],
High-resolution satellite radar for mapping changes in global forest cover,
SPIE(Newsroom), June 5, 2015.
DOI Link 1507
Radar backscatter using L-band microwave frequencies from the Advanced Land Observing Satellite enables the generation of maps of global forest cover for 2007-2010. BibRef

Wang, H.[Hong], Zhao, Y.[Yu], Pu, R.L.[Rui-Liang], Zhang, Z.Z.[Zhen-Zhen],
Mapping Robinia Pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial, and Textural Information Extracted from IKONOS Imagery and Random Forest Classifier,
RS(7), No. 7, 2015, pp. 9020.
DOI Link 1506
BibRef

Duguay, Y.[Yannick], Bernier, M.[Monique], Lévesque, E.[Esther], Tremblay, B.[Benoit],
Potential of C and X Band SAR for Shrub Growth Monitoring in Sub-Arctic Environments,
RS(7), No. 7, 2015, pp. 9410.
DOI Link 1506
BibRef

Dutrieux, L.P.[Loïc Paul], Verbesselt, J.[Jan], Kooistra, L.[Lammert], Herold, M.[Martin],
Monitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia,
PandRS(107), No. 1, 2015, pp. 112-125.
Elsevier DOI 1508
Landsat BibRef

Walker, J.[Jessica], de Beurs, K.[Kirsten], Wynne, R.H.[Randolph H.],
Phenological Response of an Arizona Dryland Forest to Short-Term Climatic Extremes,
RS(7), No. 8, 2015, pp. 10832.
DOI Link 1509
BibRef

Dotzler, S.[Sandra], Hill, J.[Joachim], Buddenbaum, H.[Henning], Stoffels, J.[Johannes],
The Potential of EnMAP and Sentinel-2 Data for Detecting Drought Stress Phenomena in Deciduous Forest Communities,
RS(7), No. 10, 2015, pp. 14227.
DOI Link 1511
BibRef

He, T.[Tian], Shao, Q.[Quanqin], Cao, W.[Wei], Huang, L.[Lin], Liu, L.[Lulu],
Satellite-Observed Energy Budget Change of Deforestation in Northeastern China and its Climate Implications,
RS(7), No. 9, 2015, pp. 11586.
DOI Link 1511
BibRef

Cao, S.[Sen], Yu, Q.[Qiuyan], Sanchez-Azofeifa, A.[Arturo], Feng, J.[Jilu], Rivard, B.[Benoit], Gu, Z.[Zhujun],
Mapping tropical dry forest succession using multiple criteria spectral mixture analysis,
PandRS(109), No. 1, 2015, pp. 17-29.
Elsevier DOI 1512
Secondary tropical dry forest BibRef

Näsi, R.[Roope], Honkavaara, E.[Eija], Lyytikäinen-Saarenmaa, P.[Päivi], Blomqvist, M.[Minna], Litkey, P.[Paula], Hakala, T.[Teemu], Viljanen, N.[Niko], Kantola, T.[Tuula], Tanhuanpää, T.[Topi], Holopainen, M.[Markus],
Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level,
RS(7), No. 11, 2015, pp. 15467.
DOI Link 1512
BibRef

Tortini, R.[Riccardo], Mayer, A.L.[Audrey L.], Maianti, P.[Pieralberto],
Using an OBCD Approach and Landsat TM Data to Detect Harvesting on Nonindustrial Private Property in Upper Michigan,
RS(7), No. 6, 2015, pp. 7809.
DOI Link 1507
BibRef

Wang, X.Y.[Xiao-Yi], Huang, H.[Huabing], Gong, P.[Peng], Biging, G.S.[Gregory S.], Xin, Q.[Qinchuan], Chen, Y.[Yanlei], Yang, J.[Jun], Liu, C.[Caixia],
Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery,
RS(8), No. 1, 2016, pp. 62.
DOI Link 1602
BibRef

Coops, N.C.[Nicholas C.], Waring, R.H.[Richard H.], Plowright, A.[Andrew], Lee, J.[Joanna], Dilts, T.E.[Thomas E.],
Using Remotely-Sensed Land Cover and Distribution Modeling to Estimate Tree Species Migration in the Pacific Northwest Region of North America,
RS(8), No. 1, 2016, pp. 65.
DOI Link 1602
BibRef

Mišurec, J.[Jan], Kopacková, V.[Veronika], Lhotáková, Z.[Zuzana], Campbell, P.[Petya], Albrechtová, J.[Jana],
Detection of Spatio-Temporal Changes of Norway Spruce Forest Stands in Ore Mountains Using Landsat Time Series and Airborne Hyperspectral Imagery,
RS(8), No. 2, 2016, pp. 92.
DOI Link 1603
BibRef

Anderson, T.[Taylor], Dragicevic, S.[Suzana],
A Geosimulation Approach for Data Scarce Environments: Modeling Dynamics of Forest Insect Infestation across Different Landscapes,
IJGI(5), No. 2, 2016, pp. 9.
DOI Link 1603
BibRef

Jjumba, A.[Anthony], Dragicevic, S.[Suzana],
Towards a voxel-based geographic automata for the simulation of geospatial processes,
PandRS(117), No. 1, 2016, pp. 206-216.
Elsevier DOI 1605
Voxel BibRef

Murfitt, J.[Justin], He, Y.H.[Yu-Hong], Yang, J.[Jian], Mui, A.[Amy], De Mille, K.[Kevin],
Ash Decline Assessment in Emerald Ash Borer Infested Natural Forests Using High Spatial Resolution Images,
RS(8), No. 3, 2016, pp. 256.
DOI Link 1604
BibRef

Zeng, H.C.[Hong-Cheng], Lu, T.[Tao], Jenkins, H.[Hillary], Negrón-Juárez, R.I.[Robinson I.], Xu, J.[Jiceng],
Assessing Earthquake-Induced Tree Mortality in Temperate Forest Ecosystems: A Case Study from Wenchuan, China,
RS(8), No. 3, 2016, pp. 252.
DOI Link 1604
BibRef

Mermoz, S.[Stéphane], Toan, T.L.[Thuy Le],
Forest Disturbances and Regrowth Assessment Using ALOS PALSAR Data from 2007 to 2010 in Vietnam, Cambodia and Lao PDR,
RS(8), No. 3, 2016, pp. 217.
DOI Link 1604
BibRef

Frantz, D.[David], Röder, A.[Achim], Udelhoven, T.[Thomas], Schmidt, M.[Michael],
Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection,
RS(8), No. 4, 2016, pp. 277.
DOI Link 1604
BibRef

Bi, J.[Jian], Myneni, R.[Ranga], Lyapustin, A.[Alexei], Wang, Y.[Yujie], Park, T.[Taejin], Chi, C.[Chen], Yan, K.[Kai], Knyazikhin, Y.[Yuri],
Amazon Forests' Response to Droughts: A Perspective from the MAIAC Product,
RS(8), No. 4, 2016, pp. 356.
DOI Link 1604
BibRef

Leverington, D.W.[David W.], Schindler, M.[Michael],
Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada,
RS(8), No. 4, 2016, pp. 301.
DOI Link 1604
Effects of acid rain from smelting. BibRef

Xi, Z.Y.[Zhen-Yuan], Lu, D.S.[Deng-Sheng], Liu, L.[Lijuan], Ge, H.L.[Hong-Li],
Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery,
RS(8), No. 4, 2016, pp. 345.
DOI Link 1604
BibRef

Lu, M.[Meng], Pebesma, E.[Edzer], Sanchez, A.[Alber], Verbesselt, J.[Jan],
Spatio-temporal change detection from multidimensional arrays: Detecting deforestation from MODIS time series,
PandRS(117), No. 1, 2016, pp. 227-236.
Elsevier DOI 1605
BFAST BibRef

Qamer, F.M.[Faisal Mueen], Shehzad, K.[Khuram], Abbas, S.[Sawaid], Murthy, M.[MSR], Xi, C.[Chen], Gilani, H.[Hammad], Bajracharya, B.[Birendra],
Mapping Deforestation and Forest Degradation Patterns in Western Himalaya, Pakistan,
RS(8), No. 5, 2016, pp. 385.
DOI Link 1606
BibRef

Ningthoujam, R.K.[Ramesh K.], Tansey, K.[Kevin], Balzter, H.[Heiko], Morrison, K.[Keith], Johnson, S.C.M.[Sarah C. M.], Gerard, F.[France], George, C.[Charles], Burbidge, G.[Geoff], Doody, S.[Sam], Veck, N.[Nick], Llewellyn, G.M.[Gary M.], Blythe, T.[Thomas],
Mapping Forest Cover and Forest Cover Change with Airborne S-Band Radar,
RS(8), No. 7, 2016, pp. 577.
DOI Link 1608
BibRef

Böttcher, K.[Kristin], Markkanen, T.[Tiina], Thum, T.[Tea], Aalto, T.[Tuula], Aurela, M.[Mika], Reick, C.H.[Christian H.], Kolari, P.[Pasi], Arslan, A.N.[Ali N.], Pulliainen, J.[Jouni],
Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations,
RS(8), No. 7, 2016, pp. 580.
DOI Link 1608
BibRef

Hernández-Clemente, R., Kolari, P., Porcar-Castell, A., Korhonen, L., Mõttus, M.,
Tracking the Seasonal Dynamics of Boreal Forest Photosynthesis Using EO-1 Hyperion Reflectance: Sensitivity to Structural and Illumination Effects,
GeoRS(54), No. 9, September 2016, pp. 5105-5116.
IEEE DOI 1609
forestry BibRef

Lindquist, E.J.[Erik J.], D'Annunzio, R.[Rémi],
Assessing Global Forest Land-Use Change by Object-Based Image Analysis,
RS(8), No. 8, 2016, pp. 678.
DOI Link 1609
BibRef

Grogan, K.[Kenneth], Pflugmacher, D.[Dirk], Hostert, P.[Patrick], Verbesselt, J.[Jan], Fensholt, R.[Rasmus],
Mapping Clearances in Tropical Dry Forests Using Breakpoints, Trend, and Seasonal Components from MODIS Time Series: Does Forest Type Matter?,
RS(8), No. 8, 2016, pp. 657.
DOI Link 1609
BibRef

Hamunyela, E.[Eliakim], Verbesselt, J.[Jan], de Bruin, S.[Sytze], Herold, M.[Martin],
Monitoring Deforestation at Sub-Annual Scales as Extreme Events in Landsat Data Cubes,
RS(8), No. 8, 2016, pp. 651.
DOI Link 1609
BibRef

Lewinska, K.E.[Katarzyna Ewa], Ivits, E.[Eva], Schardt, M.[Mathias], Zebisch, M.[Marc],
Alpine Forest Drought Monitoring in South Tyrol: PCA Based Synergy between scPDSI Data and MODIS Derived NDVI and NDII7 Time Series,
RS(8), No. 8, 2016, pp. 639.
DOI Link 1609
BibRef

Luo, H.[Hui], Zhou, T.[Tao], Wu, H.[Hao], Zhao, X.[Xiang], Wang, Q.[Qianfeng], Gao, S.[Shan], Li, Z.[Zheng],
Contrasting Responses of Planted and Natural Forests to Drought Intensity in Yunnan, China,
RS(8), No. 8, 2016, pp. 635.
DOI Link 1609
BibRef

Hais, M.[Martin], Wild, J.[Jan], Berec, L.[Ludek], Bruna, J.[Josef], Kennedy, R.[Robert], Braaten, J.[Justin], Brož, Z.[Zdenek],
Landsat Imagery Spectral Trajectories: Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance,
RS(8), No. 8, 2016, pp. 687.
DOI Link 1609
BibRef

Wingate, V.R.[Vladimir R.], Phinn, S.R.[Stuart R.], Kuhn, N.[Nikolaus], Bloemertz, L.[Lena], Dhanjal-Adams, K.L.[Kiran L.],
Mapping Decadal Land Cover Changes in the Woodlands of North Eastern Namibia from 1975 to 2014 Using the Landsat Satellite Archived Data,
RS(8), No. 8, 2016, pp. 681.
DOI Link 1609
BibRef

Li, X.D.[Xiao-Dong], Ling, F.[Feng], Du, Y.[Yun], Feng, Q.[Qi], Zhang, Y.H.[Yi-Hang],
A spatial-temporal Hopfield neural network approach for super-resolution land cover mapping with multi-temporal different resolution remotely sensed images,
PandRS(93), No. 1, 2014, pp. 76-87.
Elsevier DOI 1407
Land cover BibRef

Li, X.D.[Xiao-Dong], Ling, F.[Feng], Foody, G.M., Du, Y.[Yun],
A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions,
GeoRS(54), No. 7, July 2016, pp. 3822-3841.
IEEE DOI 1606
Earth BibRef

Ling, F., Foody, G.M., Ge, Y., Li, X.D.[Xiao-Dong], Du, Y.,
An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping,
GeoRS(54), No. 12, December 2016, pp. 7210-7222.
IEEE DOI 1612
geophysical image processing BibRef

Ling, F.[Feng], Foody, G.M.[Giles M.], Li, X.D.[Xiao-Dong], Zhang, Y.H.[Yi-Hang], Du, Y.[Yun],
Assessing a Temporal Change Strategy for Sub-Pixel Land Cover Change Mapping from Multi-Scale Remote Sensing Imagery,
RS(8), No. 8, 2016, pp. 642.
DOI Link 1609
BibRef

Ling, F.[Feng], Du, Y.[Yun], Li, X.D.[Xiao-Dong], Zhang, Y.H.[Yi-Hang], Xiao, F.[Fei], Fang, S.M.[Shi-Ming], Li, W.B.[Wen-Bo],
Superresolution Land Cover Mapping With Multiscale Information by Fusing Local Smoothness Prior and Downscaled Coarse Fractions,
GeoRS(52), No. 9, Sept 2014, pp. 5677-5692.
IEEE DOI 1407
land cover BibRef

Ling, F.[Feng], Zhang, Y., Foody, G.M., Li, X.D.[Xiao-Dong], Zhang, X., Fang, S., Li, W.B.[Wen-Bo], Du, Y.[Yun],
Learning-Based Superresolution Land Cover Mapping,
GeoRS(54), No. 7, July 2016, pp. 3794-3810.
IEEE DOI 1606
Algorithm design and analysis BibRef

Zhang, Y.H.[Yi-Hang], Atkinson, P.M.[Peter M.], Li, X.D.[Xiao-Dong], Ling, F.[Feng], Wang, Q.M.[Qun-Ming], Du, Y.[Yun],
Learning-Based Spatial-Temporal Superresolution Mapping of Forest Cover With MODIS Images,
GeoRS(55), No. 1, January 2017, pp. 600-614.
IEEE DOI 1701
vegetation mapping BibRef

Wang, C.Y.[Chu-Yuan], Myint, S.W.[Soe W.],
Environmental Concerns of Deforestation in Myanmar 2001-2010,
RS(8), No. 9, 2016, pp. 728.
DOI Link 1610
BibRef

Huang, S.[Senwang], Kong, J.M.[Ji-Ming],
Assessing Land Degradation Dynamics and Distinguishing Human-Induced Changes from Climate Factors in the Three-North Shelter Forest Region of China,
IJGI(5), No. 9, 2016, pp. 158.
DOI Link 1610
BibRef

Fujiki, S.[Shogoro], Okada, K.I.[Kei-Ichi], Nishio, S.[Shogo], Kitayama, K.[Kanehiro],
Estimation of the stand ages of tropical secondary forests after shifting cultivation based on the combination of WorldView-2 and time-series Landsat images,
PandRS(119), No. 1, 2016, pp. 280-293.
Elsevier DOI 1610
Object-based image analysis BibRef

Tarantino, C.[Cristina], Lovergine, F.[Francesco], Niphadkar, M.[Madhura], Lucas, R.[Richard], Nativi, S.[Stefano], Blonda, P.[Palma],
Towards Operational Detection of Forest Ecosystem Changes in Protected Areas,
RS(8), No. 10, 2016, pp. 850.
DOI Link 1609
BibRef

Renó, V.[Vivian], Novo, E.[Evlyn], Escada, M.[Maria],
Forest Fragmentation in the Lower Amazon Floodplain: Implications for Biodiversity and Ecosystem Service Provision to Riverine Populations,
RS(8), No. 11, 2016, pp. 886.
DOI Link 1612
BibRef

Qin, Y.W.[Yuan-Wei], Xiao, X.M.[Xiang-Ming], Wang, J.[Jie], Dong, J.[Jinwei], Ewing, K.[Kayti], Hoagland, B.[Bruce], Hough, D.J.[Daniel J.], Fagin, T.D.[Todd D.], Zou, Z.H.[Zhen-Hua], Geissler, G.L.[George L.], Xian, G.Z.[George Z.], Loveland, T.R.[Thomas R.],
Mapping Annual Forest Cover in Sub-Humid and Semi-Arid Regions through Analysis of Landsat and PALSAR Imagery,
RS(8), No. 11, 2016, pp. 933.
DOI Link 1612
BibRef

Anees, A.[Asim], Aryal, J.[Jagannath], O'Reilly, M.M.[Malgorzata M.], Gale, T.J.[Timothy J.], Wardlaw, T.[Tim],
A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data,
PandRS(122), No. 1, 2016, pp. 167-178.
Elsevier DOI 1612
Change detection BibRef

Jin, Y.H.[Yi-Hua], Sung, S.Y.[Sun-Yong], Lee, D.K.[Dong Kun], Biging, G.S.[Gregory S.], Jeong, S.G.[Seung-Gyu],
Mapping Deforestation in North Korea Using Phenology-Based Multi-Index and Random Forest,
RS(8), No. 12, 2016, pp. 997.
DOI Link 1612
BibRef

Lausch, A.[Angela], Erasmi, S.[Stefan], King, D.J.[Douglas J.], Magdon, P.[Paul], Heurich, M.[Marco],
Understanding Forest Health with Remote Sensing -Part I: A Review of Spectral Traits, Processes and Remote-Sensing Characteristics,
RS(8), No. 12, 2016, pp. 1029.
DOI Link 1612
BibRef
And:
Understanding Forest Health with Remote Sensing-Part II: A Review of Approaches and Data Models,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Liu, Z.H.[Zhi-Hua], Wimberly, M.C.[Michael C.], Dwomoh, F.K.[Francis K.],
Vegetation Dynamics in the Upper Guinean Forest Region of West Africa from 2001 to 2015,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Santos, F.[Fabián], Dubovyk, O.[Olena], Menz, G.[Gunter],
Monitoring Forest Dynamics in the Andean Amazon: The Applicability of Breakpoint Detection Methods Using Landsat Time-Series and Genetic Algorithms,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Ulsig, L.[Laura], Nichol, C.J.[Caroline J.], Huemmrich, K.F.[Karl F.], Landis, D.R.[David R.], Middleton, E.M.[Elizabeth M.], Lyapustin, A.I.[Alexei I.], Mammarella, I.[Ivan], Levula, J.[Janne], Porcar-Castell, A.[Albert],
Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Brandt, M.[Martin], Tappan, G.[Gray], Diouf, A.A.[Abdoul Aziz], Beye, G.[Gora], Mbow, C.[Cheikh], Fensholt, R.[Rasmus],
Woody Vegetation Die off and Regeneration in Response to Rainfall Variability in the West African Sahel,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Murillo-Sandoval, P.J.[Paulo J.], Van Den Hoek, J.[Jamon], Hilker, T.[Thomas],
Leveraging Multi-Sensor Time Series Datasets to Map Short- and Long-Term Tropical Forest Disturbances in the Colombian Andes,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Tian, J.J.[Jiao-Jiao], Schneider, T.[Thomas], Straub, C.[Christoph], Kugler, F.[Florian], Reinartz, P.[Peter],
Exploring Digital Surface Models from Nine Different Sensors for Forest Monitoring and Change Detection,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Duan, F.Z.[Fu-Zhou], Wan, Y.C.[Yang-Chun], Deng, L.[Lei],
A Novel Approach for Coarse-to-Fine Windthrown Tree Extraction Based on Unmanned Aerial Vehicle Images,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Hird, J.N.[Jennifer N.], Montaghi, A.[Alessandro], McDermid, G.J.[Gregory J.], Kariyeva, J.[Jahan], Moorman, B.J.[Brian J.], Nielsen, S.E.[Scott E.], McIntosh, A.C.S.[Anne C. S.],
Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Liu, S.S.[Shan-Shan], Wei, X.[Xinliang], Li, D.[Dengqiu], Lu, D.S.[Deng-Sheng],
Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Ciriza, R.[Raquel], Sola, I.[Ion], Albizua, L.[Lourdes], Álvarez-Mozos, J.[Jesús], González-Audícana, M.[María],
Automatic Detection of Uprooted Orchards Based on Orthophoto Texture Analysis,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Senf, C.[Cornelius], Pflugmacher, D.[Dirk], Hostert, P.[Patrick], Seidl, R.[Rupert],
Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe,
PandRS(130), No. 1, 2017, pp. 453-463.
Elsevier DOI 1708
Disturbance, mapping BibRef

Springer, K.R.[Kyle R.], Wang, R.[Ran], Gamon, J.A.[John A.],
Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and Reflectance Indices in Boreal Trees,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Sothe, C.[Camile], de Almeida, C.M.[Cláudia Maria], Liesenberg, V.[Veraldo], Schimalski, M.B.[Marcos Benedito],
Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef


Bernardes, S., Madden, M.,
Vegetation Disturbance And Recovery Following A Rare Windthrow Event In The Great Smoky Mountains National Park,
ISPRS16(B8: 571-575).
DOI Link 1610
BibRef

Carriello, F., Rezende, F.S., Neves, O.M.S., Rodriguez, D.A.,
Forestry Expansion During The Last Decades In The Paraiba Do Sul Basin, Brazil,
ISPRS16(B8: 857-861).
DOI Link 1610
BibRef

Kolecka, N., Kozak, J., Kaim, D., Dobosz, M., Ginzler, C., Psomas, A.,
Mapping Secondary Forest Succession On Abandoned Agricultural Land In The Polish Carpathians,
ISPRS16(B8: 931-935).
DOI Link 1610
BibRef

Bouzekri, A., Benmessaoud, H.,
Using Multi-criteria Analysis For The Study Of Human Impact On Agro-forestry-pastoral Ecosystem In The Region Of Khenchela (Algeria),
ISPRS16(B8: 779-783).
DOI Link 1610
BibRef

Minarík, R., Langhammer, J.,
Use Of A Multispectral UAV Photogrammetry For Detection And Tracking Of Forest Disturbance Dynamics,
ISPRS16(B8: 711-718).
DOI Link 1610
BibRef

Nguyen, H.T.T.[Huong Thi Thanh],
Mapping Tropical Forest For Sustainable Management Using Spot 5 Satellite Image,
ISPRS16(B7: 319-323).
DOI Link 1610
BibRef

Pirotti, F., Travaglini, D., Giannetti, F., Kutchartt, E., Bottalico, F., Chirici, G.,
Kernel Feature Cross-correlation For Unsupervised Quantification Of Damage From Windthrow In Forests,
ISPRS16(B7: 17-22).
DOI Link 1610
BibRef

Khare, S., Latifi, H., Ghosh, K.,
Phenology Analysis Of Forest Vegetation To Environmental Variables During Pre- And Post-monsoon Seasons In Western Himalayan Region Of India,
ISPRS16(B2: 15-19).
DOI Link 1610
BibRef

Gao, Y., Ghilardi, A., Mas, J.F., Paneque-Galvez, J., Skutsch, M.,
Evaluation of Annual MODIS PTC Data for Deforestation and Forest Degradation Analysis,
ISPRS16(B2: 9-13).
DOI Link 1610
BibRef

Yuan, Y.[Yi], Hu, X.Y.[Xiang-Yun],
Random Forest And Objected-based Classification For Forest Pest Extraction From UAV Aerial Imagery,
ISPRS16(B1: 1093-1098).
DOI Link 1610
BibRef

Haywood, A., Verbesselt, J., Baker, P.J.,
Mapping Disturbance Dynamics In Wet Sclerophyll Forests Using Time Series Landsat,
ISPRS16(B8: 633-641).
DOI Link 1610
BibRef

Chicas, S.D., Omine, K., Arevalo, B., Ford, J.B., Sugimura, K.,
Deforestation Along The Maya Mountain Massif Belize-guatemala Border,
ISPRS16(B8: 597-602).
DOI Link 1610
BibRef

Isaacson, S., Rachmilevitch, S., Ephrath, J.E., Maman, S., Blumberg, D.G.,
Monitoring Tree Population Dynamics In Arid Zone Through Multiple Temporal Scales: Integration Of Spatial Analysis, Change Detection And Field Long Term Monitoring,
ISPRS16(B7: 513-515).
DOI Link 1610
BibRef

Smigaj, M., Gaulton, R., Barr, S.L., Suárez, J.C.,
UAV-Borne Thermal Imaging for Forest Health Monitoring: Detection of Disease-Induced Canopy Temperature Increase,
GeoUAV15(349-354).
DOI Link 1602
BibRef

Mas, J.F., Pérez Vega, A., Andablo Reyes, A., Castillo Santiago, M.A., Flamenco Sandoval, A.,
Assessing Modifiable Areal Unit Problem in the Analysis of Deforestation Drivers Using Remote Sensing and Census Data,
ISSDQ15(77-80).
DOI Link 1602
BibRef

Vepakomma, U., Cormier, D., Thiffault, N.,
Potential of UAV Based Convergent Photogrammetry in Monitoring Regeneration Standards,
UAV-g15(281-285).
DOI Link 1512
BibRef

Eberenz, J., Herold, M., Verbesselt, J., Wijaya, A., Linquist, E., Defourny, P., Gibbs, H., Arino, O., Achard, F.,
Consistent forest change maps 198-2000 from the AVHRR time series: Case studies for South America and Indonesia,
MultiTemp15(1-4)
IEEE DOI 1511
land cover BibRef

Gartner, P., Kleinschmit, B.,
Monitoring forest recovery with change metrics derived from Landsat time series stacks,
MultiTemp15(1-3)
IEEE DOI 1511
forestry BibRef

Polewski, P.[Przemyslaw], Yao, W.[Wei], Heurich, M.[Marco], Krzystek, P.[Peter], Stilla, U.[Uwe],
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery,
EarthObserv15(10-18)
IEEE DOI 1510
Entropy BibRef

Saarinen, N., Vastaranta, M., Honkavaara, E., Wulder, M.A., White, J.C., Litkey, P., Holopainen, M., Hyyppä, J.,
Mapping the Risk of Forest Wind Damage Using Airborne Scanning LiDAR,
PIA15(189-196).
DOI Link 1504
BibRef

Hu, B., Li, J., Wang, J., Hall, B.,
The Early Detection of the Emerald Ash Borer (EAB) Using Advanced Geospacial Technologies,
Geospatial14(213-219).
DOI Link 1411
BibRef

Symeonakis, E., Higginbottom, T.,
Bush encroachment monitoring using multi-temporal Landsat data and random forests,
Geospatial14(29-35).
DOI Link 1411
BibRef

Naghdizadegan, M., Behifar, M., Mirbagheri, B.,
Spatial Deforestation Modelilng Using Cellular Automata (Case Study: Central Zagros Forests),
SMPR13(289-293).
HTML Version. 1311
BibRef

Amaral, C.H., Almeida, T.I.R., Quitério, G.C.M., Alves, M.N., Souza Filho, C.R.,
Change Analysis of the Spectral Characteristics of Rubber Trees at Canopy and Leaf Scales During The Brazilian Autumn,
ISPRS12(XXXIX-B8:381-386).
DOI Link 1209
BibRef

Perera, K., Herath, S., Apan, A., Tateishi, R.,
Application of MODIS Data to Assess the Latest Forest Cover Changes of Sri Lanka,
AnnalsPRS(I-7), No. 2012, pp. 165-170.
HTML Version. 1209
BibRef

Castilla, G.[Guillermo], Ram, A.[Andrea], Linke, J.[Julia], McDermid, G.[Greg],
Semi-automated generation of a multi-temporal forest depletion layer with the Landcover Change Mapper (LCM),
MultiTemp11(97-100).
IEEE DOI 1109
BibRef

Johansen, K.[Kylie], Johansen, K.[Kasper],
Time-series analysis of rainforest clearing in Sabah, Borneo using Landsat imagery,
MultiTemp11(277-280).
IEEE DOI 1109
BibRef

Ernsta, C., Verhegghen, A., Bodart, C., Mayaux, P., de Wasseige, C., Bararwandika, A., Begoto, G., Mba, F.E.[F. Esono], Ibara, M., Shoko, A.K.[A. Kondjo], Kondjo, H.K.[H. Koy], Makak, J.S., Biang, J.D.M.[J-D. Menomo], Musampa, C., Motogo, R.N.[R. Ncogo], Shu, G.N.[G. Neba], Nkoumakali, B., Ouissikan, C.B., Defourny, P.,
Congo Basin Forest Cover Change Estimate for 1990, 2000 and 2005 by Landsat Interpretation Using an Automated Object-Based Processing Chain,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Verhegghen, A., Ernst, C., Defourny, P., Beuchle, R.,
Automated Land Cover Mapping and Independent Change Detection in Tropical Forest Using Multi-Temporal High Resolution Data Set,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Huang, C.Q.[Cheng-Quan],
Automated Forest Cover Change Analysis Using Landsat Observations,
VCGVA09(xx-yy). 0910
BibRef

Hese, S., Schmullius, C.,
Object context information for advanced forest change classification strategies,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Desclee, B., de Wasseige, C., Bogaert, P., Defourny, P.,
Tropical forest monitoring by object-based change detection: Towards an automated method in an operational perspective,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Mangrove Analysis .


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