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ISPRS Journal of Photogrammetry and Remote Sensing Volume 169 November 2020

1. Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets p. 116
2. Retrieving snow wetness based on surface and volume scattering simulation 17-28
3. An optimal sampling method for multi-temporal land surface temperature validation over heterogeneous surfaces p. 29-43
4. Global comparison of diverse scaling factors and regression models for downscaling Landsat-8 thermal data p. 44-56
5. Empirical validation of photon recollision probability in single crowns of tree seedlings p. 57-72
6.Active and incremental learning for semantic ALS point cloud segmentation p. 73-92
7. Delineation of built-up land change from SAR stack by analysing the coefficient of variation p. 93-108
8. Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin p.110-124
9. Fusion of public DEMs based on sparse representation and adaptive regularization variation model p 125-134
10.Novel clustering schemes for full and compact polarimetric SAR data: An application for rice phenology characterization p. 135-151
11. Effects of radiometric correction on cover type and spatial resolution for modeling plot level forest attributes using multispectral airborne LiDAR data p. 152-165
12. A deep learning framework for matching of SAR and optical imagery p. 166-179
13.Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data p. 180-194
14. Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction p. 195-211
15. Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data p. 214-226
16. Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest p. 227-241
17. A framework for multiscale intertidal sandflat mapping: A case study in the Whangateau estuary
Mihailo Azhar, Stefano Schenone, Arabella Anderson, Trevor Gee, ... Patrice Delmas
Pages 242-252
17. A framework for multiscale intertidal sandflat mapping: A case study in the Whangateau estuary pages 242-252
18. Unsupervised scene adaptation for semantic segmentation of urban mobile laser scanning point clouds p. 253-267
19. Oriented objects as pairs of middle lines p. 268-279
20. Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning p. 280-291
21. Time series of remote sensing and water deficit to predict the occurrence of soil water repellency in New Zealand pastures p. 292-300
22. Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey p. 301-319
23. Integrating spectral variability and spatial distribution for object-based image analysis using curve matching approaches p. 320-336
24. MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding p. 337-350
25. Combined geometric-radiometric and neural network approach to shallow bathymetric mapping with UAS imagery p. 351-363
26. Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau p. 364-376
27. A generic framework for improving the geopositioning accuracy of multi-source optical and SAR imagery p. 377-388
28. 10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations p. 389-405
29. Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition p. 406-420
30. Self-attention for raw optical Satellite Time Series Classification p. 421-435

Ketersediaan
M-4414-17-XII/2020526.982Perpustakaan BIGTersedia
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier.,
Deskripsi Fisik
435 hlm. :illus. ;28 cm.
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Volume 169 November 20020
Subjek
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
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