Otwarty dostęp

Advances in Remote Sensing for Monitoring Soil Conditions in Forest Ecosystems: Techniques, Challenges, and Applications

, , ,  oraz   
30 gru 2024

Zacytuj
Pobierz okładkę

Colliander A, Cosh MH, Misra S, Jackson TJ, Crow WT, Powers J, et al. Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP Validation Experiment 2016 (SMAPVEX16). Remote Sensing of Environment. 2019;227:137–50. https://doi.org/10.1016/j.rse.2019.04.004. Colliander A Cosh MH Misra S Jackson TJ Crow WT Powers J Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP Validation Experiment 2016 (SMAPVEX16) . Remote Sensing of Environment . 2019 ; 227 : 137 50 . https://doi.org/10.1016/j.rse.2019.04.004 . Search in Google Scholar

Colliander A, Cosh MH, Kelly VR, Kraatz S, Bourgeau‐Chavez L, Siqueira P, et al. SMAP detects soil moisture under temperate forest canopies. Geophysical Research Letters. 2020;47:e2020GL089697. DOI: 10.1029/2020GL089697. Colliander A Cosh MH Kelly VR Kraatz S Bourgeau‐Chavez L Siqueira P SMAP detects soil moisture under temperate forest canopies . Geophysical Research Letters . 2020 ; 47 : e2020GL089697 . DOI: 10.1029/2020GL089697 . Open DOISearch in Google Scholar

Colliander A, Cosh MH, Kelly V, Kraatz S, Bourgeau-Chavez LL, Siqueira P, et al. SMAP Validation Experiment 2019–2022 (SMAPVEX19–22): Detection of Soil Moisture Under Temperate Forest Canopy. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021). Brussels, Belgium: IEEE; 2021. p. 6992–5. DOI: 10.1109/IGARSS47720.2021.9553613. Colliander A Cosh MH Kelly V Kraatz S Bourgeau-Chavez LL Siqueira P SMAP Validation Experiment 2019–2022 (SMAPVEX19–22): Detection of Soil Moisture Under Temperate Forest Canopy . In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021) . Brussels, Belgium : IEEE ; 2021 . p. 6992 5 . DOI: 10.1109/IGARSS47720.2021.9553613 . Open DOISearch in Google Scholar

Li Y, Zhao Z, Wei S, Sun D, Yang Q, Ding X. Prediction of regional forest soil nutrients based on Gaofen-1 remote sensing data. Forests. 2021;12(11):1430. DOI: 10.3390/f12111430. Li Y Zhao Z Wei S Sun D Yang Q Ding X. Prediction of regional forest soil nutrients based on Gaofen-1 remote sensing data . Forests . 2021 ; 12 ( 11 ): 1430 . DOI: 10.3390/f12111430 . Open DOISearch in Google Scholar

Segarra J, Buchaillot ML, Araus JL, Kefauver SC. Remote sensing for precision agriculture: Sentinel-2 improved features and applications. Agronomy. 2020;10(5):641. DOI: 10.3390/agronomy10050641. Segarra J Buchaillot ML Araus JL Kefauver SC. Remote sensing for precision agriculture: Sentinel-2 improved features and applications . Agronomy . 2020 ; 10 ( 5 ): 641 . DOI: 10.3390/agronomy10050641 . Open DOISearch in Google Scholar

Debaene G, Bartmiński P, Siłuch M. In Situ VIS-NIR spectroscopy for a basic and rapid soil investigation. Sensors. 2023;23(12):5495. https://doi.org/10.3390/s23125495. Debaene G Bartmiński P Siłuch M. In Situ VIS-NIR spectroscopy for a basic and rapid soil investigation . Sensors . 2023 ; 23 ( 12 ): 5495 . https://doi.org/10.3390/s23125495 . Search in Google Scholar

Roudier P, Hedley CB, Lobsey CR, Viscarra Rossel RA, Leroux C. Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon. Geoderma. 2017;296:98–107. DOI: 10.1016/j.geoderma.2017.02.014. Roudier P Hedley CB Lobsey CR Viscarra Rossel RA Leroux C. Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon . Geoderma . 2017 ; 296 : 98 107 . DOI: 10.1016/j.geoderma.2017.02.014 . Open DOISearch in Google Scholar

Morellos A, Pantazi XE, Moshou D, Alexandridis TK, Whetton RL, Tziotzios G, et al. Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy. Biosystems Engineering. 2016;152:104–16. Morellos A Pantazi XE Moshou D Alexandridis TK Whetton RL Tziotzios G Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy . Biosystems Engineering . 2016 ; 152 : 104 16 . Search in Google Scholar

Pietrzykowski M, Chodak M. Near infrared spectroscopy—A tool for chemical properties and organic matter assessment of afforested mine soils. Ecological Engineering. 2014;62:115–22. DOI: 10.1016/j.ecoleng.2013.10.025. Pietrzykowski M Chodak M. Near infrared spectroscopy—A tool for chemical properties and organic matter assessment of afforested mine soils . Ecological Engineering . 2014 ; 62 : 115 22 . DOI: 10.1016/j.ecoleng.2013.10.025 . Open DOISearch in Google Scholar

Ludwig B, Vormstein S, Niebuhr J, Heinze S, Marschner B, Vohland M. Estimation accuracies of near infrared spectroscopy for general soil properties and enzyme activities for two forest sites along three transects. Geoderma. 2017;288:37–46. DOI: 10.1016/j.geoderma.2016.10.022. Ludwig B Vormstein S Niebuhr J Heinze S Marschner B Vohland M. Estimation accuracies of near infrared spectroscopy for general soil properties and enzyme activities for two forest sites along three transects . Geoderma . 2017 ; 288 : 37 46 . DOI: 10.1016/j.geoderma.2016.10.022 . Open DOISearch in Google Scholar

Thomas F, Petzold R, Becker C, Werban U. Application of low-cost MEMS spectrometers for forest topsoil properties prediction. Sensors. 2021;21(11):3927. DOI: 10.3390/s21113927. Thomas F Petzold R Becker C Werban U. Application of low-cost MEMS spectrometers for forest topsoil properties prediction . Sensors . 2021 ; 21 ( 11 ): 3927 . DOI: 10.3390/s21113927 . Open DOISearch in Google Scholar

Thomas F, Petzold R, Landmark S, Mollenhauer H, Becker C, Werban U. Estimating forest soil properties for humus assessment—Is Vis-NIR the way to go? Remote Sensing. 2022;14:1368. DOI: 10.3390/rs14061368. Thomas F Petzold R Landmark S Mollenhauer H Becker C Werban U. Estimating forest soil properties for humus assessment—Is Vis-NIR the way to go? Remote Sensing . 2022 ; 14 : 1368 . DOI: 10.3390/rs14061368 . Open DOISearch in Google Scholar

Liu H, Wang Q, Peng J, Ji W, Li X, Viscarra Rossel RA. Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations. Science China Earth Sciences. 2014;57(8):1701–10. DOI: 10.1007/s11430-013-4808-x. Liu H Wang Q Peng J Ji W Li X Viscarra Rossel RA. Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations . Science China Earth Sciences . 2014 ; 57 ( 8 ): 1701 10 . DOI: 10.1007/s11430-013-4808-x . Open DOISearch in Google Scholar

Gholizadeh A, Viscarra Rossel RA, Saberioon M, Boruvka L, Kratina J, Pavlu L. National-scale spectroscopic assessment of soil organic carbon in forests of the Czech Republic. Geoderma. 2021;385:114832. DOI: 10.1016/j.geoderma.2020.114832. Gholizadeh A Viscarra Rossel RA Saberioon M Boruvka L Kratina J Pavlu L. National-scale spectroscopic assessment of soil organic carbon in forests of the Czech Republic . Geoderma . 2021 ; 385 : 114832 . DOI: 10.1016/j.geoderma.2020.114832 . Open DOISearch in Google Scholar

Murphy PNC, Ogilvie J, Meng F-R, White B, Bhatti JS, Arp PA. Modelling and mapping topographic variations in forest soils at high resolution: A case study. Ecological Modelling. 2011;222(14). Murphy PNC Ogilvie J Meng F-R White B Bhatti JS Arp PA. Modelling and mapping topographic variations in forest soils at high resolution: A case study . Ecological Modelling . 2011 ; 222 ( 14 ). Search in Google Scholar

Case BS, Meng F, Arp PA. Digital elevation modelling of soil type and drainage within small forested catchments. Canadian Journal of Soil Science. 2005;85(1):127– 37. DOI: 10.1093/forestry/cpaa010. Case BS Meng F Arp PA. Digital elevation modelling of soil type and drainage within small forested catchments . Canadian Journal of Soil Science . 2005 ; 85 ( 1 ): 127 37 . DOI: 10.1093/forestry/cpaa010 . Open DOISearch in Google Scholar

Talbot B, Rahlf J, Astrup R. An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting. Scandinavian Journal of Forest Research. 2018;33:387–96. DOI: 10.1080/02827581.2017.1418421. Talbot B Rahlf J Astrup R. An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting . Scandinavian Journal of Forest Research . 2018 ; 33 : 387 96 . DOI: 10.1080/02827581.2017.1418421 . Open DOISearch in Google Scholar

Nevalainen P, Salmivaara A, Ala-Ilomäki J, Launiainen S, Hiedanpää J, Finér L, et al. Estimating the rut depth by UAV photogrammetry. Remote Sensing. 2017;9:1279. DOI: 10.3390/rs9121279. Nevalainen P Salmivaara A Ala-Ilomäki J Launiainen S Hiedanpää J Finér L Estimating the rut depth by UAV photogrammetry . Remote Sensing . 2017 ; 9 : 1279 . DOI: 10.3390/rs9121279 . Open DOISearch in Google Scholar

Pierzchała M, Talbot B, Astrup R. Estimating soil displacement from timber extraction trails in steep terrain: Application of an unmanned aircraft for 3D modelling. Forests. 2014;5:1212–23. DOI: 10.3390/f5061212. Pierzchała M Talbot B Astrup R. Estimating soil displacement from timber extraction trails in steep terrain: Application of an unmanned aircraft for 3D modelling . Forests . 2014 ; 5 : 1212 23 . DOI: 10.3390/f5061212 . Open DOISearch in Google Scholar

James LA, Watson DG, Hansen WF. Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA. CATENA. 2007;71(1):132–44. DOI: 10.1016/j.catena.2006.10.010. James LA Watson DG Hansen WF. Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA . CATENA . 2007 ; 71 ( 1 ): 132 44 . DOI: 10.1016/j.catena.2006.10.010 . Open DOISearch in Google Scholar

Lunt IA, Hubbard SS, Rubin Y. Soil moisture content estimation using ground penetrating radar reflection data. Journal of Hydrology. 2005;307(1-4):254–69. Lunt IA Hubbard SS Rubin Y. Soil moisture content estimation using ground penetrating radar reflection data . Journal of Hydrology . 2005 ; 307 ( 1-4 ): 254 69 . Search in Google Scholar

Campbell DMH, White B, Arp PA. Modeling and mapping soil resistance to penetration and rutting using LiDAR-derived digital elevation data. Journal of Soil and Water Conservation. 2013;68(6):460–73. Campbell DMH White B Arp PA. Modeling and mapping soil resistance to penetration and rutting using LiDAR-derived digital elevation data . Journal of Soil and Water Conservation . 2013 ; 68 ( 6 ): 460 73 . Search in Google Scholar

Wehr A, Lohr U. Airborne laser scanning—an introduction and overview. ISPRS Journal of Photogrammetry and Remote Sensing. 1999;54(2-3):68–82. Wehr A Lohr U. Airborne laser scanning—an introduction and overview . ISPRS Journal of Photogrammetry and Remote Sensing . 1999 ; 54 ( 2-3 ): 68 82 . Search in Google Scholar

MacMillan RA, Martin TC, Earle TJ, McNabb DH. Automated analysis and classification of landforms using high-resolution digital elevation data: applications and issues. Canadian Journal of Remote Sensing. 2003;29(5):592–606. MacMillan RA Martin TC Earle TJ McNabb DH. Automated analysis and classification of landforms using high-resolution digital elevation data: applications and issues . Canadian Journal of Remote Sensing . 2003 ; 29 ( 5 ): 592 606 . Search in Google Scholar

Murphy PNC, Ogilvie J, Arp P. Topographic modelling of soil moisture conditions: a comparison and verification of two models. European Journal of Soil Science. 2009;60(1):94–109. Murphy PNC Ogilvie J Arp P. Topographic modelling of soil moisture conditions: a comparison and verification of two models . European Journal of Soil Science . 2009 ; 60 ( 1 ): 94 109 . Search in Google Scholar

Lidberg W, Nilsson M, Lundmark T, Ågren AM. Evaluating preprocessing methods of digital elevation models for hydrological modelling. Hydrological Processes. 2017;31(26):4660–8. Lidberg W Nilsson M Lundmark T Ågren AM. Evaluating preprocessing methods of digital elevation models for hydrological modelling . Hydrological Processes . 2017 ; 31 ( 26 ): 4660 8 . Search in Google Scholar

Lidberg W, Nilsson M, Ågren A. Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape. Ambio. 2020;49(2):475–86. Lidberg W Nilsson M Ågren A. Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape . Ambio . 2020 ; 49 ( 2 ): 475 86 . Search in Google Scholar

Mohtashami S, Eliasson L, Hansson L, Willén E, Thierfelder T, Nordfjell T. Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps for planning logging operations. International Journal of Applied Earth Observation and Geoinformation. 2022;108:102728. DOI: 10.1016/j.jag.2022.102728. Mohtashami S Eliasson L Hansson L Willén E Thierfelder T Nordfjell T. Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps for planning logging operations . International Journal of Applied Earth Observation and Geoinformation . 2022 ; 108 : 102728 . DOI: 10.1016/j.jag.2022.102728 . Open DOISearch in Google Scholar

Ring E, Ågren A, Bergkvist I, Finér L, Johansson F, Högbom L. A guide to using wet area maps in forestry. Skogforsk arbetsrapport. 2020;1051-2020. Ring E Ågren A Bergkvist I Finér L Johansson F Högbom L. A guide to using wet area maps in forestry . Skogforsk arbetsrapport . 2020 ; 1051 2020 . Search in Google Scholar

Mattila U, Tokola T. Terrain mobility estimation using TWI and airborne gamma-ray data. Journal of Environmental Management. 2019;232:531–6. Mattila U Tokola T. Terrain mobility estimation using TWI and airborne gamma-ray data . Journal of Environmental Management . 2019 ; 232 : 531 6 . Search in Google Scholar

White B, Ogilvie J, Campbell DM, Hiltz D, Gauthier B, Chisholm HKH, et al. Using the cartographic depth-to-water index to locate small streams and associated wet areas across landscapes. Canadian Water Resources Journal/Revue Canadienne des Ressources Hydriques. 2012;37(4):333–47. White B Ogilvie J Campbell DM Hiltz D Gauthier B Chisholm HKH Using the cartographic depth-to-water index to locate small streams and associated wet areas across landscapes . Canadian Water Resources Journal/Revue Canadienne des Ressources Hydriques . 2012 ; 37 ( 4 ): 333 47 . Search in Google Scholar

Labelle ER, Hansson L, Högbom L, Jourgholami M, Laschi A. Strategies to mitigate the effects of soil physical disturbances caused by forest machinery: a comprehensive review. Current Forestry Reports. 2022;8(1):20–37. Labelle ER Hansson L Högbom L Jourgholami M Laschi A. Strategies to mitigate the effects of soil physical disturbances caused by forest machinery: a comprehensive review . Current Forestry Reports . 2022 ; 8 ( 1 ): 20 37 . Search in Google Scholar

Kuglerová L, Hasselquist EM, Richardson JS, Sponseller RA, Kreutzweiser DP, Laudon H. Management perspectives on Aqua incognita: Connectivity and cumulative effects of small natural and artificial streams in boreal forests. Hydrological Processes. 2017;31(23):4238–44. Kuglerová L Hasselquist EM Richardson JS Sponseller RA Kreutzweiser DP Laudon H. Management perspectives on Aqua incognita: Connectivity and cumulative effects of small natural and artificial streams in boreal forests . Hydrological Processes . 2017 ; 31 ( 23 ): 4238 44 . Search in Google Scholar

Mohtashami S, Eliasson L, Jansson G, Sonesson J. Influence of soil type, cartographic depth-to-water, road reinforcement and traffic intensity on rut formation in logging operations: a survey study in Sweden. Silva Fennica. 2017;51(5). Mohtashami S Eliasson L Jansson G Sonesson J. Influence of soil type, cartographic depth-to-water, road reinforcement and traffic intensity on rut formation in logging operations: a survey study in Sweden . Silva Fennica . 2017 ; 51 ( 5 ). Search in Google Scholar