167 related articles for article (PubMed ID: 35891113)
21. Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI.
Raniga D; Amarasingam N; Sandino J; Doshi A; Barthelemy J; Randall K; Robinson SA; Gonzalez F; Bollard B
Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400222
[TBL] [Abstract][Full Text] [Related]
22. Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm.
Tan C; Zhou X; Zhang P; Wang Z; Wang D; Guo W; Yun F
PLoS One; 2020; 15(3):e0228500. PubMed ID: 32160185
[TBL] [Abstract][Full Text] [Related]
23. Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images.
Li Y; Wang J; Gao T; Sun Q; Zhang L; Tang M
Comput Intell Neurosci; 2020; 2020():8886932. PubMed ID: 32952545
[TBL] [Abstract][Full Text] [Related]
24. Vegetation cover in relation to socioeconomic factors in a tropical city assessed from sub-meter resolution imagery.
Martinuzzi S; Ramos-González OM; Muñoz-Erickson TA; Locke DH; Lugo AE; Radeloff VC
Ecol Appl; 2018 Apr; 28(3):681-693. PubMed ID: 29284190
[TBL] [Abstract][Full Text] [Related]
25. Overstory-understory land cover mapping at the watershed scale: accuracy enhancement by multitemporal remote sensing analysis and LiDAR.
Fragoso-Campón L; Quirós E; Mora J; Gutiérrez Gallego JA; Durán-Barroso P
Environ Sci Pollut Res Int; 2020 Jan; 27(1):75-88. PubMed ID: 30783926
[TBL] [Abstract][Full Text] [Related]
26. Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.
Nguyen C; Sagan V; Maimaitiyiming M; Maimaitijiang M; Bhadra S; Kwasniewski MT
Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33499335
[TBL] [Abstract][Full Text] [Related]
27. Performance of hyperspectral data in predicting and mapping zinc concentration in soil.
Sun W; Liu S; Zhang X; Zhu H
Sci Total Environ; 2022 Jun; 824():153766. PubMed ID: 35151742
[TBL] [Abstract][Full Text] [Related]
28. Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification:a case study for Banswara in Rajasthan, India.
Tripathi P; Garg RD
Environ Monit Assess; 2023 Apr; 195(5):575. PubMed ID: 37060427
[TBL] [Abstract][Full Text] [Related]
29. Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region.
Sun C; Bian Y; Zhou T; Pan J
Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31130689
[TBL] [Abstract][Full Text] [Related]
30. A hyper-temporal remote sensing protocol for high-resolution mapping of ecological sites.
Maynard JJ; Karl JW
PLoS One; 2017; 12(4):e0175201. PubMed ID: 28414731
[TBL] [Abstract][Full Text] [Related]
31. [An Analysis of the Spectrums between Different Canopy Structures Based on Hyperion Hyperspectral Data in a Temperate Forest of Northeast China].
Yu QZ; Wang SQ; Huang K; Zhou L; Chen DC
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jul; 35(7):1980-5. PubMed ID: 26717763
[TBL] [Abstract][Full Text] [Related]
32. [Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor].
Qin FP; Zhang AW; Wang SM; Meng XG; Hu SX; Sun WD
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 May; 35(5):1357-64. PubMed ID: 26415460
[TBL] [Abstract][Full Text] [Related]
33. [Spatial analysis of LAIe of montane evergreen broad-leaved forest in southwest Sichuan, Northwest China, based on image texture].
Zhao AJ; Yang CQ; Liao CY
Ying Yong Sheng Tai Xue Bao; 2014 Nov; 25(11):3237-46. PubMed ID: 25898622
[TBL] [Abstract][Full Text] [Related]
34. [Random forest classification of Callicarpa nudiflora from WorldView-3 imagery based on optimized feature space].
Shi TT; Zhang XB; Guo LP; Huang LQ
Zhongguo Zhong Yao Za Zhi; 2019 Oct; 44(19):4073-4077. PubMed ID: 31872678
[TBL] [Abstract][Full Text] [Related]
35. A comparative mapping of plant species diversity using ensemble learning algorithms combined with high accuracy surface modeling.
Zhao Y; Yin X; Fu Y; Yue T
Environ Sci Pollut Res Int; 2022 Mar; 29(12):17878-17891. PubMed ID: 34674121
[TBL] [Abstract][Full Text] [Related]
36. [Study on relationships between total chlorophyll with hyperspectral features for leaves of Pinus massoniana forest].
Du HQ; Ge HL; Fan WY; Jin W; Zhou YF; Li J
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Nov; 29(11):3033-7. PubMed ID: 20101980
[TBL] [Abstract][Full Text] [Related]
37. Hyperspectral remote sensing to detect leafminer-induced stress in bok choy and spinach according to fertilizer regime and timing.
Nguyen HD; Nansen C
Pest Manag Sci; 2020 Jun; 76(6):2208-2216. PubMed ID: 31970888
[TBL] [Abstract][Full Text] [Related]
38. Hyperspectral remote sensing to assess weed competitiveness in maize farmland ecosystems.
Lou Z; Quan L; Sun D; Li H; Xia F
Sci Total Environ; 2022 Oct; 844():157071. PubMed ID: 35798120
[TBL] [Abstract][Full Text] [Related]
39. Assessment of Soybean Lodging Using UAV Imagery and Machine Learning.
Sarkar S; Zhou J; Scaboo A; Zhou J; Aloysius N; Lim TT
Plants (Basel); 2023 Aug; 12(16):. PubMed ID: 37631105
[TBL] [Abstract][Full Text] [Related]
40. Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method.
Jiang F; Kutia M; Sarkissian AJ; Lin H; Long J; Sun H; Wang G
Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33348807
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]