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Remote sensing of environment
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- Author:
- Roussel, Jean-Romain; Béland, Martin; Caspersen, John; Achim, Alexis
- Source:
- Remote sensing of environment 2018 v.209 pp. 824-834
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; angle of incidence; data collection; forest canopy; forest inventory; hardwood forests; lidar; models; probability; remote sensing; spatial distribution; Show all 11 Subjects
- Abstract:
- ... Airborne laser scanning (LiDAR) is used in forest inventories to quantify stand structure with three-dimensional point clouds. However, the 3D distribution of the point clouds depends not only on stand structure, but also on scan angle, because the probability for an oblique beam to be reflected by the canopy increases with the distance it must travel through the canopy. Thus, the canopy appears t ...
- DOI:
- 10.1016/j.rse.2017.12.006
- https://dx.doi.org/10.1016/j.rse.2017.12.006
- Author:
- Edwards, Andrew C.; Russell-Smith, Jeremy; Maier, Stefan W.
- Source:
- Remote sensing of environment 2018 v.206 pp. 287-299
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; Landsat; aboveground biomass; algorithms; canopy; fire severity; greenhouse gas emissions; mortality; remote sensing; savannas; scorch; trees; wildfires; Australia; Show all 14 Subjects
- Abstract:
- ... Severe fires in tropical savanna systems are recognised as incurring significant impacts on a variety of ecological attributes, including woody vegetation structure and greenhouse gas emissions. However, knowledge of the frequency and extent of severe fires is restricted given challenges associated with the development of reliable remotely sensed mapping procedures. This study takes advantage of t ...
- DOI:
- 10.1016/j.rse.2017.12.038
- https://dx.doi.org/10.1016/j.rse.2017.12.038
- Author:
- Roussel, Jean-Romain; Caspersen, John; Béland, Martin; Thomas, Sean; Achim, Alexis
- Source:
- Remote sensing of environment 2017 v.198 pp. 1-16
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; canopy; data collection; forest growth; forest inventory; lidar; mathematical theory; models; monitoring; prediction; remote sensing; Show all 11 Subjects
- Abstract:
- ... Airborne laser scanning (LiDAR) is used in forest inventories to quantify stand structure with three dimensional point clouds. However, the structure of point clouds depends not only on stand structure, but also on the LiDAR instrument, its settings, and the pattern of flight. The resulting variation between and within datasets (particularly variation in pulse density and footprint size) can induc ...
- DOI:
- 10.1016/j.rse.2017.05.032
- https://dx.doi.org/10.1016/j.rse.2017.05.032
- Author:
- Ploton, P.; Barbier, N.; Couteron, P.; Antin, C.M.; Ayyappan, N.; Balachandran, N.; Barathan, N.; Bastin, J.-F.; Chuyong, G.; Dauby, G.; Droissart, V.; Gastellu-Etchegorry, J.-P.; Kamdem, N.G.; Kenfack, D.; Libalah, M.; Mofack, G.I.I.; Momo, S.T.; Pargal, S.; Petronelli, P.; Proisy, C.; Réjou-Méchain, M.; Sonké, B.; Texier, N.; Thomas, D.; Verley, P.; Zebaze Dongmo, D.; Berger, U.; Pélissier, R.
- Source:
- Remote sensing of environment 2017
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; aboveground biomass; basal area; basins; canopy; carbon; case studies; deforestation; emissions; forest inventory; forest types; geometry; image analysis; models; ordination techniques; prediction; provenance; remote sensing; satellites; texture; tropical forests; tropics; Show all 22 Subjects
- Abstract:
- ... Very high spatial resolution (VHSR) optical satellite imagery has shown good potential to provide non-saturating proxies of tropical forest aboveground biomass (AGB) from the analysis of canopy texture, for instance through the Fourier Transform Textural Ordination method. Empirical case studies however showed that the relationship between Fourier texture features and forest AGB varies across fore ...
- DOI:
- 10.1016/j.rse.2017.08.001
- http://dx.doi.org/10.1016/j.rse.2017.08.001
5. Growing stock volume estimation from L-band ALOS PALSAR polarimetric coherence in Siberian forest
- Author:
- Chowdhury, Tanvir Ahmed; Thiel, Christian; Schmullius, Christiane
- Source:
- Remote sensing of environment 2014 v.155 pp. 129-144
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; Betula; correlation; forest inventory; forest stands; forests; models; polarimetry; radar; remote sensing; thawing; trees; weather; Show all 13 Subjects
- Abstract:
- ... This paper investigated the potential of L-band ALOS PALSAR full polarimetric radar data for forestry applications. In order to characterize the polarization response as a function of growing stock volume (GSV), weather conditions and different tree species in Siberian forests, the polarization phase difference between HH and VV polarizations and the magnitude of the polarimetric HHVV-coherence ha ...
- DOI:
- 10.1016/j.rse.2014.05.007
- http://dx.doi.org/10.1016/j.rse.2014.05.007
- Author:
- Vincent, G.; Sabatier, D.; Blanc, L.; Chave, J.; Weissenbacher, E.; Pélissier, R.; Fonty, E.; Molino, J.-F.; Couteron, P.
- Source:
- Remote sensing of environment 2012 v.125 pp. 23-33
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; anthropogenic activities; basal area; canopy; data collection; forest stands; lidar; models; prediction; remote sensing; soil; tropical forests; French Guiana; Show all 13 Subjects
- Abstract:
- ... We predict stand basal area (BA) from small footprint LiDAR data in 129 one-ha tropical forest plots across four sites in French Guiana and encompassing a great diversity of forest structures resulting from natural (soil and geological substrate) and anthropogenic effects (unlogged and logged forests). We use predictors extracted from the Canopy Height Model to compare models of varying complexity ...
- DOI:
- 10.1016/j.rse.2012.06.019
- http://dx.doi.org/10.1016/j.rse.2012.06.019
- Author:
- Zhao, Feng; Yang, Xiaoyuan; Schull, Mitchell A.; Román-Colón, Miguel O.; Yao, Tian; Wang, Zhuosen; Zhang, Qingling; Jupp, David L.B.; Lovell, Jenny L.; Culvenor, Darius S.; Newnham, Glenn J.; Richardson, Andrew D.; Ni-Meister, Wenge; Schaaf, Crystal L.; Woodcock, Curtis E.; Strahler, Alan H.
- Source:
- Remote sensing of environment 2011 v.115 no.11 pp. 2954-2964
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; canopy; conifers; forest stands; forests; hardwood; image analysis; leaf area index; leaves; lidar; photography; remote sensing; stocking rate; Australia; Maine; Massachusetts; New England region; New Hampshire; Show all 18 Subjects
- Abstract:
- ... Effective leaf area index (LAI) retrievals from a scanning, ground-based, near-infrared (1064nm) lidar that digitizes the full return waveform, the Echidna Validation Instrument (EVI), are in good agreement with those obtained from both hemispherical photography and the Li-Cor LAI-2000 Plant Canopy Analyzer. We conducted trials at 28 plots within six stands of hardwoods and conifers of varying hei ...
- DOI:
- 10.1016/j.rse.2010.08.030
- http://dx.doi.org/10.1016/j.rse.2010.08.030
- Author:
- Kane, Van R.; Gillespie, Alan R.; McGaughey, Robert; Lutz, James A.; Ceder, Kevin; Franklin, Jerry F.
- Source:
- Remote sensing of environment 2008 v.112 no.10 pp. 3820
- Subject:
- stand structure, etc ; coniferous forests; forest canopy; remote sensing; topography; forest stands; lidar; image analysis; spectral analysis; shade; Northwestern United States; Show all 11 Subjects
- Abstract:
- ... The self-shadowing of conifer canopies results from the size and arrangement of trees within a stand and is a first-order term controlling radiance from forested terrain at common pixel scales of tens of meters. Although self-shadowing is a useful attribute for forest remote-sensing classification, compensation for the topographic effects of self-shadowing has proven problematic. This study used a ...
- Handle:
- 10113/37570
- DOI:
- 10.1016/j.rse.2008.06.001
- http://dx.doi.org/10.1016/j.rse.2008.06.001
- Author:
- Lefsky, Michael A.; Hudak, Andrew T.; Cohen, Warren B.; Acker, S.A.
- Source:
- Remote sensing of environment 2005 v.95 no.4 pp. 517
- Subject:
- stand structure, etc ; tree and stand measurements; forest stands; forest canopy; statistical analysis; correlation; remote sensing; lidar; data analysis; Show all 9 Subjects
- Abstract:
- ... In the past decade, lidar (light detection and ranging) has emerged as a powerful tool for remotely sensing forest canopy and stand structure, including the estimation of aboveground biomass and carbon storage. Numerous papers have documented the use of lidar measurements to predict important aspects of forest stand structure, including aboveground biomass. Other papers have documented the ability ...
- Handle:
- 10113/37565
- DOI:
- 10.1016/j.rse.2005.01.004
- http://dx.doi.org/10.1016/j.rse.2005.01.004
- Author:
- Kim, Sooyoung; McGaughey, Robert J.; Andersen, Hans-Erik; Schreuder, Gerard
- Source:
- Remote sensing of environment 2009 v.113 no.8 pp. 1575
- Subject:
- stand structure, etc ; forest trees; tree crown; lidar; remote sensing; data analysis; leaves; tree and stand measurements; spatial distribution; spatial data; forest stands; hyperspectral imagery; image analysis; spectral analysis; reflectance; Show all 15 Subjects
- Abstract:
- ... Tree species identification is important for a variety of natural resource management and monitoring activities including riparian buffer characterization, wildfire risk assessment, biodiversity monitoring, and wildlife habitat assessment. Intensity data recorded for each laser point in a LIDAR system is related to the spectral reflectance of the target material and thus may be useful for differen ...
- Handle:
- 10113/38815
- DOI:
- 10.1016/j.rse.2009.03.017
- http://dx.doi.org/10.1016/j.rse.2009.03.017
- Author:
- Lefsky, Michael A.; Hudak, Andrew T.; Cohen, Warren B.; Acker, S.A.
- Source:
- Remote sensing of environment 2005 v.95 no.4 pp. 532
- Subject:
- stand structure, etc ; forest stands; lidar; forest inventory; biomass; remote sensing; geographical variation; equations; coniferous forests; forest canopy; environmental factors; regression analysis; data analysis; correlation; forest ecology; estimation; Northwestern United States; Show all 17 Subjects
- Abstract:
- ... Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, carbon storage in moderate to high biomass forests is difficult to estimate with conventional optical or radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hol ...
- Handle:
- 10113/37568
- DOI:
- 10.1016/j.rse.2005.01.010
- http://dx.doi.org/10.1016/j.rse.2005.01.010
- Author:
- Gamon, J.A.; Huemmrich, K.F.; Peddle, D.R.; Chen, J.; Fuentes, D.; Hall, F.G.; Kimball, J.S.; Goetz, S.; Gu, J.; McDonald, K.C.; Miller, J.R.; Moghaddam, M.; Rahman, A.F.; Roujean, J.L.; Smith, E.A.; Walthall, C.L.; Zarco-Tejada, P.; Hu, B.; Fernandes, R.; Cihlar, J.
- Source:
- Remote sensing of environment 2004 v.89 no.2 pp. 139
- Subject:
- stand structure, etc ; boreal forests; remote sensing; vegetation cover; biogeochemical cycles; vegetation structure; climatic factors; weather; spectral analysis; thermal analysis; lidar; radar; albedo (reflectance); forest stands; climate change; research projects; Canada; Show all 17 Subjects
- Abstract:
- ... The Boreal Ecosystem Atmosphere Study (BOREAS) was a large, multiyear internationally supported study designed to improve our understanding of the boreal forest biome and its interactions with the atmosphere, biosphere, and the carbon cycle in the face of global climate change. In the initial phase of this study (early 1990s), remote sensing played a key role by providing products needed for plann ...
- Handle:
- 10113/37951
- DOI:
- 10.1016/j.rse.2003.08.017
- http://dx.doi.org/10.1016/j.rse.2003.08.017
- Author:
- Cohen, W.B.; Spies, T.A.
- Source:
- Remote sensing of environment 1992 v.41 no.1 pp. 1
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; Pseudotsuga menziesii; Tsuga heterophylla; tree age; linear models; forest inventory; Landsat; Oregon; Washington; Show all 9 Subjects
- Abstract:
- ... To help determine the utility of satellite data for analysis and inventory of Douglas-fir/western hemlock forests west of the Cascade Mountains crest in Oregon and Washington, USA, we evaluate relationships between spectral and texture variables derived from SPOT HRV 10 m panchromatic and LANDSAT TM 30 m multispectral data and 16 forest stand structural attributes. Texture of the HRV data was stro ...
- Handle:
- 10113/36751
- DOI:
- 10.1016/0034-4257(92)90056-P
- http://dx.doi.org/10.1016/0034-4257(92)90056-P
- Author:
- Means, Joseph E.; Acker, Steven A.; Harding, David J.; Blair, J. Bryan; Lefsky, Michael A.; Cohen, Warren B.; Harmon, Mark E.; McKee, W. Arthur
- Source:
- Remote sensing of environment 1999 no.3 pp. 298
- Subject:
- stand structure, etc ; forest stands; lidar; image analysis; estimation; coniferous forests; forest canopy; data analysis; basal area; height; biomass; models; prediction; Oregon; Show all 14 Subjects
- Abstract:
- ... Estimates of forest area were obtained for the states of Indiana, Iowa, Minnesota, and Missouri in the United States using stratified analyses and observations from forest inventory plots measured in federal fiscal year 1999. Strata were created by aggregating the land cover classes of the National Land Cover Data (NLCD), and strata weights were calculated as proportions of strata pixel counts. Th ...
- Handle:
- 10113/37560
- DOI:
- 10.1016/S0034-4257(98)00091-1
- http://dx.doi.org/10.1016/S0034-4257(98)00091-1
15. Surface Lidar Remote Sensing of Basal Area and Biomass in Deciduous Forests of Eastern Maryland, USA
- Author:
- Lefsky, Michael A.; Harding, D.; Cohen, W.B.; Parker, G.; Shugart, H.H.
- Source:
- Remote sensing of environment 1999 v.67 no.1 pp. 83
- Subject:
- stand structure, etc ; deciduous forests; tree and stand measurements; lidar; remote sensing; basal area; forest stands; forest canopy; height; regression analysis; equations; data analysis; prediction; Maryland; Show all 14 Subjects
- Abstract:
- ... A method of predicting two forest stand structure attributes, basal area and aboveground biomass, from measurements of forest vertical structure was developed and tested using field and remotely sensed canopy structure measurements. Coincident estimates of the vertical distribution of canopy surface area (the canopy height profile), and field-measured stand structure attributes were acquired for t ...
- Handle:
- 10113/37566
- DOI:
- 10.1016/S0034-4257(98)00071-6
- http://dx.doi.org/10.1016/S0034-4257(98)00071-6
- Author:
- Cohen, W.B.; Spies, T.A.; Bradshaw, G.A.
- Source:
- Remote sensing of environment 1990 v.34 no.3 pp. 167
- ISSN:
- 0034-4257
- Subject:
- stand structure, etc ; Pseudotsuga menziesii; forests; remote sensing; image analysis; canopy; Oregon; Show all 7 Subjects
- Abstract:
- ... Semivariograms were used to exploit the spatial information inherent in digital imagery of a variety of Douglas-fir [Pseudotsuga menziesii (Mirbel) Franco] forest stands in the Pacific Northwest region of the United Stataes. Calculations involved digital numbers from single transects of pixels representative of each stand and from a full spatial matrix of pixels from each stand. Digitized aerial v ...
- Handle:
- 10113/36764
- DOI:
- 10.1016/0034-4257(90)90066-U
- http://dx.doi.org/10.1016/0034-4257(90)90066-U
- Author:
- Lefsky, M.A.; Cohen, W.B.; Acker, S.A.; Parker, G.G.; Spies, T.A.; Harding, D.
- Source:
- Remote sensing of environment 1999 v.70 no.3 pp. 339
- Subject:
- stand structure, etc ; coniferous forests; forest canopy; vegetation structure; forest stands; age structure; old-growth forests; remote sensing; lidar; data analysis; new methods; stand composition; leaf area; basal area; canopy gaps; Oregon; Show all 16 Subjects
- Abstract:
- ... Scanning lidar remote sensing systems have recently become available for use in ecological applications. Unlike conventional microwave and optical sensors, lidar sensors directly measure the distribution of vegetation material along the vertical axis and can be used to provide three-dimensional, or volumetric, characterizations of vegetation structure. Ecological applications of scanning lidar hav ...
- Handle:
- 10113/37440
- DOI:
- 10.1016/S0034-4257(99)00052-8
- http://dx.doi.org/10.1016/S0034-4257(99)00052-8