144 related articles for article (PubMed ID: 36739013)
1. Examining the influence of bare soil UAV imagery combined with auxiliary datasets to estimate and map soil organic carbon distribution in an erosion-prone agricultural field.
Biney JKM; Houška J; Volánek J; Abebrese DK; Cervenka J
Sci Total Environ; 2023 Apr; 870():161973. PubMed ID: 36739013
[TBL] [Abstract][Full Text] [Related]
2. Using an ensemble model coupled with portable X-ray fluorescence and visible near-infrared spectroscopy to explore the viability of mapping and estimating arsenic in an agricultural soil.
Biney JKM; Vašát R; Blöcher JR; Borůvka L; Němeček K
Sci Total Environ; 2022 Apr; 818():151805. PubMed ID: 34813815
[TBL] [Abstract][Full Text] [Related]
3. Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra.
Peng Y; Xiong X; Adhikari K; Knadel M; Grunwald S; Greve MH
PLoS One; 2015; 10(11):e0142295. PubMed ID: 26555071
[TBL] [Abstract][Full Text] [Related]
4. Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring.
Ge X; Wang J; Ding J; Cao X; Zhang Z; Liu J; Li X
PeerJ; 2019; 7():e6926. PubMed ID: 31110930
[TBL] [Abstract][Full Text] [Related]
5. A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion.
Nguyen TT; Pham TD; Nguyen CT; Delfos J; Archibald R; Dang KB; Hoang NB; Guo W; Ngo HH
Sci Total Environ; 2022 Jan; 804():150187. PubMed ID: 34517328
[TBL] [Abstract][Full Text] [Related]
6. Multitemporal satellite imagery analysis for soil organic carbon assessment in an agricultural farm in southeastern Brazil.
Minhoni RTA; Scudiero E; Zaccaria D; Saad JCC
Sci Total Environ; 2021 Aug; 784():147216. PubMed ID: 34088055
[TBL] [Abstract][Full Text] [Related]
7. Estimation of soil salt content by combining UAV-borne multispectral sensor and machine learning algorithms.
Wei G; Li Y; Zhang Z; Chen Y; Chen J; Yao Z; Lao C; Chen H
PeerJ; 2020; 8():e9087. PubMed ID: 32377459
[TBL] [Abstract][Full Text] [Related]
8. Soil copper concentration map in mining area generated from AHSI remote sensing imagery.
Sun W; Liu S; Wang M; Zhang X; Shang K; Liu Q
Sci Total Environ; 2023 Feb; 860():160511. PubMed ID: 36442635
[TBL] [Abstract][Full Text] [Related]
9. Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging.
Agyeman PC; Kingsley J; Kebonye NM; Khosravi V; Borůvka L; Vašát R
Environ Pollut; 2023 Jan; 316(Pt 1):120697. PubMed ID: 36403872
[TBL] [Abstract][Full Text] [Related]
10. Estimation of Soil Organic Carbon Using Vis-NIR Spectral Data and Spectral Feature Bands Selection in Southern Xinjiang, China.
Bai Z; Xie M; Hu B; Luo D; Wan C; Peng J; Shi Z
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015885
[TBL] [Abstract][Full Text] [Related]
11. Tracking changes in soil organic carbon across the heterogeneous agricultural landscape of the Lower Fraser Valley of British Columbia.
Paul SS; Dowell L; Coops NC; Johnson MS; Krzic M; Geesing D; Smukler SM
Sci Total Environ; 2020 Aug; 732():138994. PubMed ID: 32438157
[TBL] [Abstract][Full Text] [Related]
12. Optimal zinc level and uncertainty quantification in agricultural soils via visible near-infrared reflectance and soil chemical properties.
Agyeman PC; Kebonye NM; Khosravi V; Kingsley J; Borůvka L; Vašát R; Boateng CM
J Environ Manage; 2023 Jan; 326(Pt A):116701. PubMed ID: 36395645
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra.
Yang M; Xu D; Chen S; Li H; Shi Z
Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30641879
[TBL] [Abstract][Full Text] [Related]
14. Improvement of spatial estimation for soil organic carbon stocks in Yuksekova plain using Sentinel 2 imagery and gradient descent-boosted regression tree.
Budak M; Günal E; Kılıç M; Çelik İ; Sırrı M; Acir N
Environ Sci Pollut Res Int; 2023 Apr; 30(18):53253-53274. PubMed ID: 36853536
[TBL] [Abstract][Full Text] [Related]
15. Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm.
Pan W; Wang X; Sun Y; Wang J; Li Y; Li S
Plant Methods; 2023 Jan; 19(1):7. PubMed ID: 36691062
[TBL] [Abstract][Full Text] [Related]
16. Identification of Soil Types and Salinity Using MODIS Terra Data and Machine Learning Techniques in Multiple Regions of Pakistan.
Haq YU; Shahbaz M; Asif S; Ouahada K; Hamam H
Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836951
[TBL] [Abstract][Full Text] [Related]
17. Estimation of Soil Organic Carbon Content in the Ebinur Lake Wetland, Xinjiang, China, Based on Multisource Remote Sensing Data and Ensemble Learning Algorithms.
Xie B; Ding J; Ge X; Li X; Han L; Wang Z
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408299
[TBL] [Abstract][Full Text] [Related]
18. Comparison of catchment scale 3D and 2.5D modelling of soil organic carbon stocks in Jiangxi Province, PR China.
Rentschler T; Gries P; Behrens T; Bruelheide H; Kühn P; Seitz S; Shi X; Trogisch S; Scholten T; Schmidt K
PLoS One; 2019; 14(8):e0220881. PubMed ID: 31430307
[TBL] [Abstract][Full Text] [Related]
19. Modeling spatial patterns of soil respiration in maize fields from vegetation and soil property factors with the use of remote sensing and geographical information system.
Huang N; Wang L; Guo Y; Hao P; Niu Z
PLoS One; 2014; 9(8):e105150. PubMed ID: 25157827
[TBL] [Abstract][Full Text] [Related]
20. Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images.
Li W; Zhu X; Yu X; Li M; Tang X; Zhang J; Xue Y; Zhang C; Jiang Y
Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591193
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
