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2208
BibRef
Shimizu, K.[Katsuto],
Murakami, W.[Wataru],
Furuichi, T.[Takahisa],
Estoque, R.C.[Ronald C.],
Mapping Land Use/Land Cover Changes and Forest Disturbances in
Vietnam Using a Landsat Temporal Segmentation Algorithm,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Mulverhill, C.[Christopher],
Coops, N.C.[Nicholas C.],
Achim, A.[Alexis],
Continuous monitoring and sub-annual change detection in
high-latitude forests using Harmonized Landsat Sentinel-2 data,
PandRS(197), 2023, pp. 309-319.
Elsevier DOI
2303
HLS, Forest disturbance, Change detection, Forest monitoring
BibRef
Vernon, J.[Jordan],
Peter, J.S.[Joseph St.],
Crandall, C.[Christy],
Awowale, O.E.[Olufunke E.],
Medley, P.[Paul],
Drake, J.[Jason],
Ibeanusi, V.[Victor],
Spatial Application of Southern U.S. Pine Water Yield for
Prioritizing Forest Management Activities,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Cavalli, A.[Alice],
Francini, S.[Saverio],
McRoberts, R.E.[Ronald E.],
Falanga, V.[Valentina],
Congedo, L.[Luca],
de Fioravante, P.[Paolo],
Maesano, M.[Mauro],
Munafň, M.[Michele],
Chirici, G.[Gherardo],
Mugnozza, G.S.[Giuseppe Scarascia],
Estimating Afforestation Area Using Landsat Time Series and
Photointerpreted Datasets,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Míguez, C.[Clara],
Fernández, C.[Cristina],
Evaluating the Combined Use of the NDVI and High-Density Lidar Data
to Assess the Natural Regeneration of P. pinaster after a
High-Severity Fire in NW Spain,
RS(15), No. 6, 2023, pp. 1634.
DOI Link
2304
BibRef
Zhao, G.S.[Guang-Shuai],
Xu, E.[Erqi],
Yi, X.[Xutong],
Guo, Y.[Ye],
Zhang, K.[Kun],
Comparison of Forest Restorations with Different Burning Severities
Using Various Restoration Methods at Tuqiang Forestry Bureau of
Greater Hinggan Mountains,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Li, M.[Mei],
Zuo, S.[Shudi],
Su, Y.[Ying],
Zheng, X.M.[Xiao-Man],
Wang, W.B.[Wei-Bing],
Chen, K.[Kaichao],
Ren, Y.[Yin],
An Approach Integrating Multi-Source Data with LandTrendr Algorithm
for Refining Forest Recovery Detection,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
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
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
Vepakomma, U.,
Cormier, D.,
Thiffault, N.,
Potential of UAV Based Convergent Photogrammetry in Monitoring
Regeneration Standards,
UAV-g15(281-285).
DOI Link
1512
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Forest Change Evaluation, Bark Beetle, Pine Shoot Beetle, Other Insects .