PlanetScope Imageries and LiDAR Point Clouds Processing for Automation Land Cover Mapping and Vegetation Assessment of a Reclaimed Sulfur Mine

The present research investigated the possibility of using PlanetScope imageries and LiDAR point clouds for land cover assessment, especially vegetation mapping, in degraded and reclaimed areas. Studies were carried out on the former sulfur mine of Jeziórko located in Southeast Poland. In total, more than ca. 2000 ha of this mine area were reclaimed after borehole exploitation and afforestation. We investigated a total area of 216.72 ha. Integration of PlanetScope imageries and LiDAR point clouds processing offers the ability to derive information about the LULC classes and vegetation growth in the analyzed area and indicate the forest succession progress as an effect of the reclamation treatments. In the Jeziórko area, we identified coniferous forest (90.84 ha, 41.91% of the research area), broad-leaved forest (44.02 ha, 20.31%), and transitional woodland shrub areas with herbaceous communities (77.96 ha, 35.97%). The analyses focused on the detection and monitoring of the forest succession processes and obtaining the tree canopy profiles and characteristics of vegetation, i.e., the height and cover density.

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Reclaimed Area Land Cover Mapping Using Sentinel-2 Imagery and LiDAR Point Clouds

Remote Sensing ◽

10.3390/rs12020261 ◽

2020 ◽

Vol 12 (2) ◽

pp. 261

Author(s):

Marta Szostak ◽

Marcin Pietrzykowski ◽

Justyna Likus-Cieślik

Keyword(s):

Land Cover ◽

Coniferous Forest ◽

Canopy Cover ◽

Point Clouds ◽

Land Cover Mapping ◽

Vegetation Development ◽

Vegetation Growth ◽

Broad Leaved Forest ◽

Primary Focus ◽

Sentinel 2

This paper investigates the possibility of using fusion Sentinel-2 imageries (2016, ESA) and light detection and ranging (LiDAR) point clouds for the automation of land cover mapping with a primary focus on detecting and monitoring afforested areas and deriving precise information about the spatial (2D and 3D) characteristics of vegetation for reclaimed areas. The study was carried out for reclaimed areas – two former sulfur mines located in Southeast Poland, namely, Jeziórko, where 216.5 ha of afforested area was reclaimed after borehole exploitation, and Machów, where 871.7 ha of dump area was reclaimed after open cast strip mining. The current land use and land cover (LULC) classes at the Machów and Jeziórko former sulfur mines are derived based on Sentinel-2 image processing, and confirmed the applied type of reclamation for both analysed areas. The following LULC classes showed a significant spatial range: broad-leaved forest, coniferous forest, and transitional woodland shrub. The progress of afforested areas, not only in terms of the occupied area, but also in terms of the growth of trees and shrubs, was confirmed. The results of the study showed differences in vegetation parameters, namely, height and canopy cover. Various stages of vegetation growth were also observed. This indicates an ongoing process of vegetation development, as an effect of the reclamation treatment for these areas.

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Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses

Geosciences ◽

10.3390/geosciences10080321 ◽

2020 ◽

Vol 10 (8) ◽

pp. 321

Author(s):

Marta Szostak

Keyword(s):

Land Cover ◽

Change Detection ◽

Laser Scanning ◽

Forest Succession ◽

Secondary Forest ◽

Point Clouds ◽

Administrative District ◽

Agricultural Use ◽

Areas Of Interest ◽

Succession Processes

This paper investigates the possibility of applying light detection and ranging (LiDAR) point clouds and geographic information system (GIS) analyses for land use and land cover (LULC) change detection, mainly with a view to monitoring uncontrolled forest succession occurring on postagricultural lands. The research was conducted in a part of the administrative district of Milicz (in the central-west area of Poland). The areas of interest were parcels in which agricultural use has been abandoned and forest succession processes have progressed. The airborne laser scanning (ALS) data (acquired in 2007, 2012, and 2015) revealed detailed changes in land cover as a result of the progression in the forest succession process. Using the ALS data, the LULC changes and the progress of secondary forest succession are shown, and the vegetation parameters (LiDAR metrics) are presented.

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Die Brutvogelfauna eines Nadelwaldes der nördlichen Voralpen nach dem Sturm Lothar

Schweizerische Zeitschrift fur Forstwesen ◽

10.3188/szf.2017.0059 ◽

2017 ◽

Vol 168 (2) ◽

pp. 59-66

Author(s):

Pierre Mollet ◽

René Hardegger ◽

Res Altwegg ◽

Pius Korner ◽

Simon Birrer

Keyword(s):

Forest Succession ◽

Coniferous Forest ◽

Bird Species ◽

Individual Species ◽

Mountain Forest ◽

Breeding Bird ◽

Point Counts ◽

Federal Institute ◽

Central Switzerland ◽

Bird Fauna

Breeding bird fauna in a coniferous forest in the northern Prealps after storm Lothar In a 70-hectare large coniferous forest located on the northern edge of the Alps in central Switzerland, Canton of Obwalden, at an altitude of 1260 to 1550 metres above sea level, we surveyed the local breeding bird fauna in 2002 and 2013 by means of point counts as well as additional area searches for rare species. In December 1999, hurricane Lothar caused two large windthrow areas and several smaller areas with scattered throws in the survey range. We found a total of 48 breeding bird species, which is a very diverse species composition for a mountain forest. In the eleven years between surveys, a decline in distribution or abundance was recorded for four species, while seven species showed an increase; a further four species showed no change. For the remaining species, the data sets were too small to reliably estimate changes. A comparison with forest structure data provided by the Swiss Federal Institute of Forest, Snow and Landscape Research WSL revealed that for five bird species, the changes in distribution or abundance could be explained at least partially by forest succession. In order to obtain realistic distribution and abundance values in this kind of breeding bird survey, it is essential to collect large enough samples and to consider the detection probability of each individual species using appropriate statistical methods.

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Diversity of Medicinal Plants among Different Tree Canopies

Sustainability ◽

10.3390/su13052640 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2640

Author(s):

Muhammad Zubair ◽

Akash Jamil ◽

Syed Bilal Hussain ◽

Ahsan Ul Haq ◽

Ahmad Hussain ◽

...

Keyword(s):

Medicinal Plants ◽

Coniferous Forest ◽

Canopy Cover ◽

Local Communities ◽

Tree Canopy ◽

Tree Cover ◽

Open Spaces ◽

Floral Diversity ◽

Tree Canopy Cover ◽

Closed Canopy

The moist temperate forests in Northern Pakistan are home to a variety of flora and fauna that are pivotal in sustaining the livelihoods of the local communities. In these forests, distribution and richness of vegetation, especially that of medicinal plants, is rarely reported. In this study, we carried out a vegetation survey in District Balakot, located in Northeastern Pakistan, to characterize the diversity of medicinal plants under different canopies of coniferous forest. The experimental site was divided into three major categories (viz., closed canopy, open spaces, and partial tree cover). A sampling plot of 100 m2 was established on each site to measure species diversity, dominance, and evenness. To observe richness and abundance, the rarefaction and rank abundance curves were plotted. Results revealed that a total of 45 species representing 34 families were available in the study site. Medicinal plants were the most abundant (45%) followed by edible plants (26%). Tree canopy cover affected the overall growth of medicinal plants on the basis of abundance and richness. The site with partial canopy exhibited the highest diversity, dominance, and abundance compared to open spaces and closed canopy. These findings are instrumental in identifying the wealth of the medicinal floral diversity in the northeastern temperate forest of Balakot and the opportunity to sustain the livelihoods of local communities with the help of public/private partnership.

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Integrating structure and function: mapping the hierarchical spatial heterogeneity of urban landscapes

Ecological Processes ◽

10.1186/s13717-020-00266-1 ◽

2020 ◽

Vol 9 (1) ◽

Author(s):

Yuguo Qian ◽

Weiqi Zhou ◽

Steward T. A. Pickett ◽

Wenjuan Yu ◽

Dingpeng Xiong ◽

...

Keyword(s):

Land Cover ◽

Spatial Heterogeneity ◽

Urban Ecosystem ◽

Tree Canopy ◽

Urban Landscapes ◽

Shenzhen City ◽

Object Based ◽

Level 3 ◽

Industrial Zones ◽

Level 2

Abstract Background Cities are social-ecological systems characterized by remarkably high spatial and temporal heterogeneity, which are closely related to myriad urban problems. However, the tools to map and quantify this heterogeneity are lacking. We here developed a new three-level classification scheme, by considering ecosystem types (level 1), urban function zones (level 2), and land cover elements (level 3), to map and quantify the hierarchical spatial heterogeneity of urban landscapes. Methods We applied the scheme using an object-based approach for classification using very high spatial resolution imagery and a vector layer of building location and characteristics. We used a top-down classification procedure by conducting the classification in the order of ecosystem types, function zones, and land cover elements. The classification of the lower level was based on the results of the higher level. We used an object-based methodology to carry out the three-level classification. Results We found that the urban ecosystem type accounted for 45.3% of the land within the Shenzhen city administrative boundary. Within the urban ecosystem type, residential and industrial zones were the main zones, accounting for 38.4% and 33.8%, respectively. Tree canopy was the dominant element in Shenzhen city, accounting for 55.6% over all ecosystem types, which includes agricultural and forest. However, in the urban ecosystem type, the proportion of tree canopy was only 22.6% because most trees were distributed in the forest ecosystem type. The proportion of trees was 23.2% in industrial zones, 2.2% higher than that in residential zones. That information “hidden” in the usual statistical summaries scaled to the entire administrative unit of Shenzhen has great potential for improving urban management. Conclusions This paper has taken the theoretical understanding of urban spatial heterogeneity and used it to generate a classification scheme that exploits remotely sensed imagery, infrastructural data available at a municipal level, and object-based spatial analysis. For effective planning and management, the hierarchical levels of landscape classification (level 1), the analysis of use and cover by urban zones (level 2), and the fundamental elements of land cover (level 3), each exposes different respects relevant to city plans and management.

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Spatially Continuous Land-Cover Reconstructions Through the Holocene in Southern Sweden

Ecosystems ◽

10.1007/s10021-020-00594-5 ◽

2021 ◽

Author(s):

Robert O’Dwyer ◽

Laurent Marquer ◽

Anna-Kari Trondman ◽

Anna Maria Jönsson

Keyword(s):

Land Cover ◽

Regional Scale ◽

Coniferous Forest ◽

Reconstruction Algorithm ◽

Fossil Pollen ◽

Conifer Forest ◽

Southern Sweden ◽

The Holocene ◽

Simple Kriging ◽

Pollen Records

AbstractClimate change and human activities influence the development of ecosystems, with human demand of ecosystem services altering both land use and land cover. Fossil pollen records provide time series of vegetation characteristics, and the aim of this study was to create spatially continuous reconstructions of land cover through the Holocene in southern Sweden. The Landscape Reconstruction Algorithm (LRA) was applied to obtain quantitative reconstructions of pollen-based vegetation cover at local scales, accounting for pollen production, dispersal, and deposition mechanisms. Pollen-based local vegetation estimates were produced from 41 fossil pollen records available for the region. A comparison of 17 interpolation methods was made and evaluated by comparing with current land cover. Simple kriging with cokriging using elevation was selected to interpolate the local characteristics of past land cover, to generate more detailed reconstructions of trends and degree of variability in time and space than previous studies based on pollen data representing the regional scale. Since the Mesolithic, two main processes have acted to reshape the land cover of southern Sweden, originally mostly covered by broad-leaved forests. The natural distribution limit of coniferous forest has moved southward during periods with colder climate and retracted northward during warmer periods, and human expansion in the area and agrotechnological developments has led to a gradually more open landscape, reaching maximum openness at the beginning of the 20th century. The recent intensification of agriculture has led to abandonment of less fertile agricultural fields and afforestation with conifer forest.

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Linking Urban Tree Cover Change and Local History in a Post-Industrial City

Land ◽

10.3390/land10040403 ◽

2021 ◽

Vol 10 (4) ◽

pp. 403

Author(s):

Lara A. Roman ◽

Indigo J. Catton ◽

Eric J. Greenfield ◽

Hamil Pearsall ◽

Theodore S. Eisenman ◽

...

Keyword(s):

Land Cover ◽

Low Income ◽

Historical Context ◽

Local History ◽

Tree Canopy ◽

Tree Cover ◽

Open Spaces ◽

Urban Tree ◽

Suburban Areas ◽

Post Industrial

Municipal leaders are pursuing ambitious goals to increase urban tree canopy (UTC), but there is little understanding of the pace and socioecological drivers of UTC change. We analyzed land cover change in Philadelphia, Pennsylvania (United States) from 1970–2010 to examine the impacts of post-industrial processes on UTC. We interpreted land cover classes using aerial imagery and assessed historical context using archival newspapers, agency reports, and local historical scholarship. There was a citywide UTC increase of +4.3 percentage points. Substantial UTC gains occurred in protected open spaces related to both purposeful planting and unintentional forest emergence due to lack of maintenance, with the latter phenomenon well-documented in other cities located in forested biomes. Compared to developed lands, UTC was more persistent in protected open spaces. Some neighborhoods experienced substantial UTC gains, including quasi-suburban areas and depopulated low-income communities; the latter also experienced decreasing building cover. We identified key processes that drove UTC increases, and which imposed legacies on current UTC patterns: urban renewal, urban greening initiatives, quasi-suburban developments, and (dis)investments in parks. Our study demonstrates the socioecological dynamism of intra-city land cover changes at multi-decadal time scales and the crucial role of local historical context in the interpretation of UTC change.

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Accuracy Assessment of Point Clouds from LiDAR and Dense Image Matching Acquired Using the UAV Platform for DTM Creation

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi7090342 ◽

2018 ◽

Vol 7 (9) ◽

pp. 342 ◽

Cited By ~ 28

Author(s):

Adam Salach ◽

Krzysztof Bakuła ◽

Magdalena Pilarska ◽

Wojciech Ostrowski ◽

Konrad Górski ◽

...

Keyword(s):

Land Cover ◽

Laser Scanning ◽

Point Clouds ◽

Data Sources ◽

Digital Terrain Models ◽

Vegetation Height ◽

Digital Terrain ◽

Terrain Models ◽

Airborne Laser ◽

Vertical Accuracy

In this paper, the results of an experiment about the vertical accuracy of generated digital terrain models were assessed. The created models were based on two techniques: LiDAR and photogrammetry. The data were acquired using an ultralight laser scanner, which was dedicated to Unmanned Aerial Vehicle (UAV) platforms that provide very dense point clouds (180 points per square meter), and an RGB digital camera that collects data at very high resolution (a ground sampling distance of 2 cm). The vertical error of the digital terrain models (DTMs) was evaluated based on the surveying data measured in the field and compared to airborne laser scanning collected with a manned plane. The data were acquired in summer during a corridor flight mission over levees and their surroundings, where various types of land cover were observed. The experiment results showed unequivocally, that the terrain models obtained using LiDAR technology were more accurate. An attempt to assess the accuracy and possibilities of penetration of the point cloud from the image-based approach, whilst referring to various types of land cover, was conducted based on Real Time Kinematic Global Navigation Satellite System (GNSS-RTK) measurements and was compared to archival airborne laser scanning data. The vertical accuracy of DTM was evaluated for uncovered and vegetation areas separately, providing information about the influence of the vegetation height on the results of the bare ground extraction and DTM generation. In uncovered and low vegetation areas (0–20 cm), the vertical accuracies of digital terrain models generated from different data sources were quite similar: for the UAV Laser Scanning (ULS) data, the RMSE was 0.11 m, and for the image-based data collected using the UAV platform, it was 0.14 m, whereas for medium vegetation (higher than 60 cm), the RMSE from these two data sources were 0.11 m and 0.36 m, respectively. A decrease in the accuracy of 0.10 m, for every 20 cm of vegetation height, was observed for photogrammetric data; and such a dependency was not noticed in the case of models created from the ULS data.

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Litter Ecohydrological Function Characteristics of Three Typical Plant Communities in The Core Area of Five-Hundred-Meter Aperture Spherical Radio Telescope from Guizhou, China

10.21203/rs.3.rs-607783/v1 ◽

2021 ◽

Author(s):

Jianli Zhang ◽

Ting Zhang ◽

Lihua Pu ◽

Lingbin Yan ◽

Guojun Cai ◽

...

Keyword(s):

Water Absorption ◽

Plant Communities ◽

Coniferous Forest ◽

Water Holding Capacity ◽

Litter Layer ◽

Broad Leaved Forest ◽

Maximum Water ◽

And Storage ◽

Water Holding ◽

Leaved Forest

Abstract Taking the litter layer of three typical plant communities (broad-leaved forest, coniferous forest, and shrubs) as the research object, this study analyzed the hydrological function characteristics of the litter layers of different typical plant communities using the indoor immersion method in order to reveal the effects of the traits of the litter layer on the hydrological functions of typical plant communities in the core area. The results showed that: (1) the litter reserve change trend decreased in order as follows: broad-leaved forest (13.31 ± 1.54 t/hm2) > shrubs (12.62 ± 2.34 t/hm2) > coniferous forest (11.36 ± 1.43 t/hm2). The coniferous forest and shrub litter reserves increased significantly with the increase of decomposition degree (F = 19.36, P < 0.01; and F = 9.19, P < 0.01, respectively), while the broad-leaved forest litter reserves decreased first and then increased significantly with the increase of decomposition degree (F = 25.70, P < 0.01); (2) the litter natural moisture content change trends were as follows: shrubs (34.09 ± 4.31 t/hm2) > broad-leaved forest (31.32 ± 1.76 t/hm2) > coniferous forest (29.48 ± 7.02 t/hm2). The change trends of the maximum water-holding capacity, maximum interception amount, maximum interception rate, effective interception amount, and effective interception rate were in descending order as follows: broad-leaved forest > shrubs > coniferous forest. The maximum water-holding capacity, maximum interception amount, and effective interception amount of litter rose with the increase of decomposition degree. The broad-leaved forest community litter layer had the strongest rainfall interception function and the best hydrological service functions. The interception function was stronger with the increase of the decomposition degree of the litter layer; (3) the water-holding and water-releasing capacity variation of the litter layers manifested as reversed “J” features for the three typical plant communities. The water-holding capacity of different plant community litter layers (Qct) was significantly positively correlated with time (t) (P < 0.01), and the equation was Qct = b + alnt, whereas the water-releasing capacity of different plant community litter layers (Qst) was significantly positively correlated with time (t) (P < 0.01), and the equation was Qst = a t b; and (4) the water absorption and release rates of the litter layers had four periods. The water absorption rate (v) was significantly negatively correlated with time (t) (P < 0.01), and the equation was v = a t− b, while the water release rate was the same. The water absorption and release rates differed by one order of magnitude in the first 5 min, exhibiting the greatest regulation and storage function, while the rate differed by only 2.1–4.5 times during the last three periods. This shows that the litter layer has the strongest rainfall regulation and storage function for only a short period of time before declining.

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Dynamics of human-induced lakes and their impact on land surface temperature in Toshka Depression, Western Desert, Egypt

10.21203/rs.3.rs-229433/v1 ◽

2021 ◽

Author(s):

Rasha Abou Samra

Keyword(s):

Land Use ◽

Land Cover ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Vegetation Index ◽

Research Area ◽

Western Desert ◽

Severe Drought ◽

Land Use Land Cover

Abstract Land surface temperature (LST) is a significant environmental variable that is appreciably influenced by land use /land cover changes. The main goal of this research was to quantify the impacts of land use/land cover change (LULC) from the drying of Toshka Lakes on LST by remote sensing and GIS techniques. Landsat series TM and OLI satellite images were used to estimate LST from 2001 to 2019. Automated Water Extraction Index (AWEI) was applied to extract water bodies from the research area. Optimized Soil-Adjusted Vegetation Index (OSAVI) was utilized to predict the reclaimed land in the Toshka region until 2019. The results indicated a decrease in the lakes by about 1517.79 km2 with an average increase in LST by about 25.02 °C between 2001 and 2019. It was observed that the dried areas of the lakes were converted to bare soil and are covered by salt crusts. The results indicated that the land use change was a significant driver for the increased LST. The mean annual LST increased considerably by 0.6 °C/y between 2001 and 2019. A strong negative correlation between LST and Toshka Lakes area (R-square = 0.98) estimated from regression analysis implied that Toshka Lakes drying considerably affected the microclimate of the study area. Severe drought conditions, soil degradation, and many environmental issues were predicted due to the rise of LST in the research area. There is an urgent need to develop favorable strategies for sustainable environmental management in the Toshka region.

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