scholarly journals Long-term forest cover and height changes on abandoned agricultural land: An assessment based on historical stereometric images and airborne laser scanning data

2021 ◽  
Vol 120 ◽  
pp. 106904
Author(s):  
Jarosław Janus ◽  
Piotr Bożek ◽  
Bartosz Mitka ◽  
Jarosław Taszakowski ◽  
Arkadiusz Doroż
Keyword(s):  
Laser Scanning ◽  
Forest Cover ◽  
Agricultural Land ◽  
Airborne Laser Scanning ◽  
Airborne Laser

scholarly journals Puittaimestiku kaardistamine aerolidari andmete põhjal metsana lisanduvatel aladel/ Estimation of fractional forest cover from airborne laser scanning data in abandoned agricultural land

2013 ◽  
Vol 59 (1) ◽  
pp. 45-58
Author(s):  
Marta Mõistus ◽  
Mait Lang ◽  
Allan Sims
Keyword(s):  
Laser Scanning ◽  
Agricultural Land ◽  
Canopy Cover ◽  
Airborne Laser Scanning ◽  
Tree Canopy ◽  
Maximum Height ◽  
Plant Canopy ◽  
Actual Problem ◽  
Airborne Laser ◽  
The Impact

Abstract The abandonment of agricultural land is an actual problem in Estonia due to significant impact on landscape ecology and structure. Abandoned agricultural fields are usually converting into forest. Mapping of agricultural land use is a strategic interest of each country. Airborne laser scanning (ALS) is used in many countries for topographical mapping and the laser pulse return positions are promising datasets for mapping the abandonment of agricultural land. We used ALS data based woody plant canopy cover estimates made at certain reference height unachievable for field crops to map abandoned agricultural land in nine test sites in Tartumaa, Estonia. The maximum height of trees in test sites ranged from 6.5 m to 13.4 m. The lidar pulse returns based canopy cover estimate was assessed 1) by using ortophoto based digitized maps of tree canopy, 2) repeated measurements made with plant canopy analyzer LAI-2000 and 3) by using allometric crown radius models and repeated tree measurements from sample plots. The interpretation of canopy boundaries and separation of small spaces between tree crowns from ortophotos is a challenging task for an operator. The relationship between ALS based canopy cover and ortophoto based canopy cover was linear in all test sites except when ALS data from beginning of June were used. It the beginning of June foliage is not fully developed on trees. An increase in the woody canopy cover was detected from repeated LAI-2000 measurements and also from repeated tree measurements-based simulated crowns. The impact of reference height change from 2.0 m to 1.3 m on canopy cover estimations was not significant and much smaller compared to the tree growth induced increase in canopy cover, indicating that similar errors originating from e.g. digital elevation model are not problematic for the proposed method in practical applications.

scholarly journals Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data

2018 ◽  
Vol 216 ◽  
pp. 262-275 ◽  
Author(s):  
Joanne C. White ◽  
Ninni Saarinen ◽  
Ville Kankare ◽  
Michael A. Wulder ◽  
Txomin Hermosilla ◽  
...  
Keyword(s):  
Time Series ◽  
Laser Scanning ◽  
Forest Cover ◽  
Airborne Laser Scanning ◽  
Post Harvest ◽  
Airborne Laser ◽  
Spectral Recovery

scholarly journals Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data

2020 ◽  
Vol 12 (24) ◽  
pp. 4189
Author(s):  
Ivan Sačkov ◽  
Ivan Barka ◽  
Tomáš Bucha
Keyword(s):  
Laser Scanning ◽  
Agricultural Land ◽  
Spatial Dynamics ◽  
Woody Biomass ◽  
Reference Points ◽  
Airborne Laser Scanning ◽  
Identification System ◽  
Area Of Interest ◽  
Airborne Laser ◽  
Spatial Identification

Mapping aboveground woody biomass (AGB) on abandoned agricultural land (AAL) is required by relevant stakeholders to monitor the spatial dynamics of farmland afforestation, to assess the carbon sequestration, and to set the appropriate management of natural resources. The objective of this study was, therefore, to present and assess a workflow consisting of (1) the spatial identification of AAL based on a combination of airborne laser scanning (ALS) data, cadastral data, and Land Parcel Identification System data, and (2) the prediction of AGB on AAL using an area-based approach and a nonparametric random forest (RF) model based on a combination of field and ALS data. Part of the second objective was also to evaluate the applicability of (1) the author-developed algorithm for the calculation of ALS metrics and (2) a single comprehensive RF model for the whole area of interest. The study was conducted in the forest management unit Vígľaš (Slovakia, Central Europe) covering a total area of 12,472 ha. Specifically, five reference areas consisting of 11,194 reference points were used to assess the accuracy of the spatial identification of AAL, and seventy-five ground reference plots were used for the development of the ALS-based AGB model and for assessing the accuracy of the AGB map. The overall accuracy of the spatial identification of AAL was found to be 93.00% (Cohen’s kappa = 0.82). The difference between ALS-predicted and ground-observed AGB reached a relative root mean square error (RMSE) at 26.1%, 33.1%, and 21.3% for the whole sample size, plots dominated by shrub species, and plots dominated by tree species, respectively.

scholarly journals GIS MODELING OF FOREST COVER ON THE BASIS OF AIRBORNE LASER SCANNING

2015 ◽  
Vol 1 (21) ◽  
pp. 420-427
Author(s):  
I. G. Rizaev ◽  
A. V. Pogorelov ◽  
M. V. Antonenko ◽  
M. V. Kuzyakina
Keyword(s):  
Laser Scanning ◽  
Forest Cover ◽  
Airborne Laser Scanning ◽  
Gis Modeling ◽  
Airborne Laser

Shrub detection using disparate airborne laser scanning acquisitions over varied forest cover types

2017 ◽  
Vol 39 (4) ◽  
pp. 1220-1242 ◽  
Author(s):  
Ranjith Gopalakrishnan ◽  
Valerie A. Thomas ◽  
Randolph H. Wynne ◽  
John W. Coulston ◽  
Thomas R. Fox
Keyword(s):  
Laser Scanning ◽  
Forest Cover ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Forest Cover Types

scholarly journals Comparison of field and airborne laser scanning based crown cover estimates across land cover types in Kenya

2015 ◽  
Vol XL-7/W3 ◽  
pp. 409-415 ◽  
Author(s):  
J. Heiskanen ◽  
L. Korhonen ◽  
J. Hietanen ◽  
V. Heikinheimo ◽  
E. Schäfer ◽  
...  
Keyword(s):  
Land Cover ◽  
Laser Scanning ◽  
Field Data ◽  
Forest Cover ◽  
Practical Method ◽  
Airborne Laser Scanning ◽  
Data Sets ◽  
Land Cover Types ◽  
Crown Cover ◽  
Airborne Laser

Tree crown cover (CC) provides means for the continuous land cover characterization of complex tropical landscapes with multiple land uses and variable degrees of degradation. It is also a key parameter in the international forest definitions that are basis for monitoring global forest cover changes. Recently, airborne laser scanning (ALS) has emerged as a practical method for accurate CC mapping, but ALS derived CC estimates have rarely been assessed with field data in the tropics. Here, our objective was to compare the various field and ALS based CC estimates across multiple land cover types in the Taita Hills, Kenya. The field data was measured from a total of 178 sample plots (0.1 ha) in 2013 and 2014. The most accurate field measurement method, line intersect sampling using Cajanus tube, was used in 37 plots. Other methods included CC estimate based on the tree inventory data (144 plots), crown relascope (43 plots) and hemispherical photography (30 plots). Three ALS data sets, including two scanners and flying heights, were acquired concurrently with the field data collection. According to the results, the first echo cover index (FCI) from ALS data had good agreement with the most accurate field based CC estimates (RMSD 7.1% and 2.7% depending on the area and scan). The agreement with other field based methods was considerably worse. Furthermore, we observed that ALS cover indices were robust between the different scans in the overlapping area. In conclusion, our results suggest that ALS provides a reliable method for continuous CC mapping across tropical land cover types although dense shrub layer and tree-like herbaceous plants can cause overestimation of CC.

scholarly journals ПРИМЕНЕНИЕ МЕТОДА ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ ДЛЯ ПОИСКА ФОРТИФИЦИРОВАННЫХ ОБЪЕКТОВ НА ТЕРРИТОРИИ МОНГОЛИИ И ЗАПАДНОГО ЗАБАЙКАЛЬЯ

2021 ◽  
pp. 80-95
Author(s):  
Денис Алексеевич Миягашев ◽  
Биликто Александрович Базаров ◽  
Ярослав Витальевич Дикий
Keyword(s):  
Laser Scanning ◽  
Urban Society ◽  
Yuan Dynasty ◽  
Airborne Laser Scanning ◽  
Monumental Architecture ◽  
International Conference ◽  
Airborne Laser ◽  
The Yuan Dynasty ◽  
The Silk Road

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