23.2.9.2.1 Changes using Landsat Images

Chapter Contents (Back)
Change Detection. Land Cover. Temporal Analysis. Remote Sensing. Landsat.

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Wang, C.Z.[Cui-Zhen], Fan, Q.[Qian], Li, Q.T.[Qing-Ting], Soo Hoo, W.M.[William M.], Lu, L.L.[Lin-Lin],
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Schmidt, M.[Michael], Pringle, M.[Matthew], Devadas, R.[Rakhesh], Denham, R.[Robert], Tindall, D.[Dan],
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Dannenberg, M.P.[Matthew P.], Hakkenberg, C.R.[Christopher R.], Song, C.H.[Cong-He],
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Shahtahmassebi, A.R.[Amir Reza], Lin, Y.[Yue], Lin, L.[Lin], Atkinson, P.M.[Peter M.], Moore, N.[Nathan], Wang, K.[Ke], He, S.[Shan], Huang, L.Y.[Ling-Yan], Wu, J.[Jiexia], Shen, Z.Q.[Zhang-Quan], Gan, M.[Muye], Zheng, X.Y.[Xin-Yu], Su, Y.[Yue], Teng, H.F.[Hong-Fen], Li, X.Y.[Xiao-Yan], Deng, J.S.[Jin-Song], Sun, Y.Y.[Yuan-Yuan], Zhao, M.Z.[Meng-Zhu],
Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA,
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Zhu, Z.[Zhe],
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Diek, S.[Sanne], Fornallaz, F.[Fabio], Schaepman, M.E.[Michael E.], de Jong, R.[Rogier],
Barest Pixel Composite for Agricultural Areas Using Landsat Time Series,
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Gupta, N.[Neha], Pillai, G.V.[Gargi V.], Ari, S.[Samit],
Change detection in Landsat images based on local neighbourhood information,
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Karakizi, C.[Christina], Karantzalos, K.[Konstantinos], Vakalopoulou, M.[Maria], Antoniou, G.[Georgia],
Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover,
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Song, M.[Mi], Zhong, Y.F.[Yan-Fei], Ma, A.L.[Ai-Long],
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Xie, S.[Shuai], Liu, L.Y.[Liang-Yun], Zhang, X.[Xiao], Yang, J.N.[Jiang-Ning], Chen, X.D.[Xi-Dong], Gao, Y.[Yuan],
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Martín-Ortega, P.[Pablo], García-Montero, L.G.[Luis Gonzaga], Sibelet, N.[Nicole],
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Li, J.Y.[Jia-Yi], Huang, X.[Xin], Chang, X.Y.[Xiao-Yu],
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Machine learning, Multi-temporal change detection, Landsat satellite imagery, Automatic sample collection BibRef

Bright, B.C.[Benjamin C.], Hudak, A.T.[Andrew T.], Meddens, A.J.H.[Arjan J.H.], Egan, J.M.[Joel M.], Jorgensen, C.L.[Carl L.],
Mapping Multiple Insect Outbreaks across Large Regions Annually Using Landsat Time Series Data,
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Meroni, M., Schucknecht, A., Fasbender, D., Rembold, F., Fava, F., Mauclaire, M., Goffner, D., di Lucchio, L.M., Leonardi, U.,
Remote sensing monitoring of land restoration interventions in semi-arid environments using a before-after control-impact statistical design,
MultiTemp17(1-4)
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statistical analysis, vegetation mapping, Great Green Wall, Landsat mission, Moderate Resolution Imaging Spectroradiometer, restoration interventions BibRef

Sun, J.[Jing], Ongsomwang, S.[Suwit],
Multitemporal Land Use and Land Cover Classification from Time-Series Landsat Datasets Using Harmonic Analysis with a Minimum Spectral Distance Algorithm,
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Hemati, M.[Mohammad_Ali], Hasanlou, M.[Mahdi], Mahdianpari, M.[Masoud], Mohammadimanesh, F.[Fariba],
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth,
RS(13), No. 15, 2021, pp. xx-yy.
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Survey, Landsat Change Detection. BibRef

Aghababaei, M.[Masoumeh], Ebrahimi, A.[Ataollah], Naghipour, A.A.[Ali Asghar], Asadi, E.[Esmaeil], Verrelst, J.[Jochem],
Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform,
RS(13), No. 22, 2021, pp. xx-yy.
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Zhao, F.[Fen], Xia, L.[Lang], Kylling, A.[Arve], Shang, H.[Hua], Yang, P.[Peng],
Mapping global flying aircraft activities using Landsat 8 and cloud computing,
PandRS(184), 2022, pp. 19-30.
Elsevier DOI 2202
Flying aircraft detection, Landsat 8, 1.38 µm, Cloud computing, Global aviation, COVID-19 BibRef

Guo, Y.T.[Yan-Tao], Long, T.F.[Teng-Fei], Jiao, W.[Weili], Zhang, X.M.[Xiao-Mei], He, G.J.[Guo-Jin], Wang, W.[Wei], Peng, Y.[Yan], Xiao, H.[Han],
Siamese Detail Difference and Self-Inverse Network for Forest Cover Change Extraction Based on Landsat 8 OLI Satellite Images,
RS(14), No. 3, 2022, pp. xx-yy.
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Zhang, Y.Z.[Yu-Zhen], Liu, J.D.[Jin-Dong], Liang, S.L.[Shun-Lin], Li, M.[Manyao],
A New Spatial-Temporal Depthwise Separable Convolutional Fusion Network for Generating Landsat 8-Day Surface Reflectance Time Series over Forest Regions,
RS(14), No. 9, 2022, pp. xx-yy.
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Graesser, J.[Jordan], Stanimirova, R.[Radost], Tarrio, K.[Katelyn], Copati, E.J.[Esteban J.], Volante, J.N.[José N.], Verón, S.R.[Santiago R.], Banchero, S.[Santiago], Elena, H.[Hernan], de Abelleyra, D.[Diego], Friedl, M.A.[Mark A.],
Temporally-Consistent Annual Land Cover from Landsat Time Series in the Southern Cone of South America,
RS(14), No. 16, 2022, pp. xx-yy.
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Li, J.Z.[Jian-Zhou], Ma, J.J.[Jin-Ji], Ye, X.J.[Xiao-Jiao],
A Batch Pixel-Based Algorithm to Composite Landsat Time Series Images,
RS(14), No. 17, 2022, pp. xx-yy.
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Sun, X.Y.[Xiao-Yu], Li, G.Y.[Gui-Ying], Wu, Q.Q.[Qin-Quan], Li, D.Q.[Deng-Qiu], Lu, D.S.[Deng-Sheng],
Examining the Effects of Soil and Water Conservation Measures on Patterns and Magnitudes of Vegetation Cover Change in a Subtropical Region Using Time Series Landsat Imagery,
RS(16), No. 4, 2024, pp. 714.
DOI Link 2402
BibRef


Devadas, R., Denham, R.J., Pringle, M.,
Support Vector Machine Classification Of Object-based Data For Crop Mapping, Using Multi-temporal Landsat Imagery,
ISPRS12(XXXIX-B7:185-190).
DOI Link 1209
BibRef

Rasi, R.[Rastislav], Kissiyar, O.[Ouns], Vollmar, M.[Michael],
Land cover change detection thresholds for Landsat data samples,
MultiTemp11(205-208).
IEEE DOI 1109
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
NDVI, Normalized Difference Vegetation Index, Changes .


Last update:Mar 16, 2024 at 20:36:19