Zobrazeno 1 - 10
of 236
pro vyhledávání: '"L. M. Moskal"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3687-3699 (2023)
Accurate, unbiased wetland inventories are critical to monitor and protect wetlands from future harm or land conversion. However, most wetland inventories are constructed through manual image interpretation or automated classification of multi-band i
Externí odkaz:
https://doaj.org/article/32b8109ed07740bc851880d4be112bd1
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 2813-2822 (2019)
Methods to quantify solar insolation in riparian landscapes are needed due to the importance of stream temperature to aquatic biota. We have tested three lidar predictors using two approaches developed for other applications of estimating solar insol
Externí odkaz:
https://doaj.org/article/c0c24b85c07c4eb68125c5c78286b674
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:777-786
Terrestrial laser scanner (TLS)-based leaf area index (LAI) retrieval is an appealing concept, due to the ability to capture structural information of canopies as 3-D point cloud data (PCD). TLS-based LAI estimation methods promise a nondestructive t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::540b5016f27f757fe62cfc1169ec3dba
https://doi.org/10.1109/tgrs.2012.2205003
https://doi.org/10.1109/tgrs.2012.2205003
Autor:
L. M. Moskal, Guang Zheng
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 50:3970-3979
Tree leaf orientation, including the distribution of the inclinational and azimuthal angles in the canopy, is an important attribute of forest canopy architecture and is critical in determining the within and below canopy solar radiation regimes. Cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc0feb850041545a9692fc6a93a47d5e
https://doi.org/10.1109/tgrs.2012.2188533
https://doi.org/10.1109/tgrs.2012.2188533
Computational-Geometry-Based Retrieval of Effective Leaf Area Index Using Terrestrial Laser Scanning
Autor:
Guang Zheng, L. M. Moskal
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 50:3958-3969
Quantifying the 3-D forest canopy structure and leaf area index of an individual tree or a forest stand is challenging. The canopy structural information implicitly contained within point cloud data (PCD) generated from terrestrial laser scanning (TL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fec4eab64d3a1ed3e6ecdcb0f366ad57
https://doi.org/10.1109/tgrs.2012.2187907
https://doi.org/10.1109/tgrs.2012.2187907
Autor:
L. M. Moskal, Steven E. Franklin
Publikováno v:
International Journal of Remote Sensing. 25:2701-2711
A Compact Airborne Spectrographic Imager (CASI) multiresolution dataset, comprised of imagery with spatial resolutions of 60 cm, 1 m and 2 m, was used to asses the relationship between defoliation severity of aspen (Populus tremuloides Michx.) stands
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9f3b0c9b5a42974cb79efc94b69918a
https://doi.org/10.1080/01431160310001642304
https://doi.org/10.1080/01431160310001642304
Autor:
Steven E. Franklin, L. M. Moskal
Publikováno v:
Geocarto International. 17:55-68
Three spatial resolutions of airborne remote sensing imagery (60 cm, 1 m, and 2 m) collected over multi‐layer aspen, pine, spruce, and mixedwood forest stands in Alberta on July 18th, 1998 were tested for their ability to provide a statistical stan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9218f5a30234cf55d7545ca8a6859d40
https://doi.org/10.1080/10106040208542254
https://doi.org/10.1080/10106040208542254
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 14
Issue 11
Pages 20304-20319
Sensors, Vol 14, Iss 11, Pp 20304-20319 (2014)
Sensors
Volume 14
Issue 11
Pages 20304-20319
Sensors, Vol 14, Iss 11, Pp 20304-20319 (2014)
We developed new vegetation indices utilizing terrestrial laser scanning (TLS) to quantify the three-dimensional spatial configuration of plant communities. These indices leverage the novelty of TLS data and rely on the spatially biased arrangement o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c94e4c6c809e632702ce082c4494269
https://pubmed.ncbi.nlm.nih.gov/25353981
https://pubmed.ncbi.nlm.nih.gov/25353981
Publikováno v:
Canadian Journal of Remote Sensing. 27:679-684
Nous avons developpe et teste une methodologie operationnelle pour la cartographie des cultures a partir de la classification des donnees spectrales et texturales RADARSAT et Landsat TM dans le sud-est de la province de Buenos Aires, en Argentine. Le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3171c197af216bcc343d0433f91c5056
https://doi.org/10.1080/07038992.2001.10854910
https://doi.org/10.1080/07038992.2001.10854910