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761. Investigation of slope instabilities in NW Bhutan as derived from systematic DInSAR analyses

Author:
Dini, Benedetta; Manconi, Andrea; Loew, Simon
Source:
Engineering geology 2019 v.259 pp. 105111
ISSN:
0013-7952
Subject:
vegetation cover,   etc   ; data collection; deformation; geometry; glaciers; hazard characterization; interferometry; landslides; models; permafrost; remote sensing; rockfalls; satellites; soil creep; spatial data; synthetic aperture radar; topographic slope; Bhutan; Himalayan region;     Show all 19 Subjects
Abstract:
... In this work we present a methodology based on remote sensing data to map and classify unstable slopes in high alpine areas and apply this methodology to the Himalaya of northwestern Bhutan. We leverage on radar images acquired by the ESA Envisat and the JAXA ALOS-1 satellites between 2007 and 2011. Synthetic aperture radar differential interferometry (DInSAR) is used to identify and quantify rece ...
DOI:
10.1016/j.enggeo.2019.04.008

762. Predicting understory vegetation structure in selected western forests of the United States using FIA inventory data

Author:
Krebs, Michael A.; Reeves, Matthew C.; Baggett, L. Scott
Source:
Forest ecology and management 2019 v.448 pp. 509-527
ISSN:
0378-1127
Subject:
vegetation cover,   etc   ; Abies grandis; Pinus contorta var. latifolia; Pinus ponderosa; Pseudotsuga menziesii; algorithms; carbon; carbon sinks; data collection; forbs; forest canopy; forest inventory; forest types; fuel loading; fuels; grasses; model validation; models; overstory; prediction; shrubs; understory; variance; wildfires; wildlife habitats; Western United States;     Show all 26 Subjects
Abstract:
... Understory vegetation structure and its relationship with forest canopies and site conditions are important determinants of carbon stocks, wildlife habitat, and fuel loading for wildland fire assessments. Comprehensive studies are needed to assess these relationships through the use of consistently collected field-based data. One approach to achieve this is to make use of preexisting forest invent ...
DOI:
10.1016/j.foreco.2019.06.024

763. Annual continuous fields of woody vegetation structure in the Lower Mekong region from 2000‐2017 Landsat time-series

Author:
Potapov, P.; Tyukavina, A.; Turubanova, S.; Talero, Y.; Hernandez-Serna, A.; Hansen, M.C.; Saah, D.; Tenneson, K.; Poortinga, A.; Aekakkararungroj, A.; Chishtie, F.; Towashiraporn, P.; Bhandari, B.; Aung, K.S.; Nguyen, Q.H.
Source:
Remote sensing of environment 2019 v.232 pp. 111278
ISSN:
0034-4257
Subject:
vegetation cover,   etc   ; Landsat; algorithms; canopy; data collection; deforestation; forest damage; forest land; forests; information processing; land cover; land use; models; monitoring; reforestation; remote sensing; time series analysis; tree height; trees; Cambodia; Mekong River;     Show all 21 Subjects
Abstract:
... Spatially and temporally consistent vegetation structure time-series have great potential to improve the capacity for national land cover monitoring, to reduce latency and cost of international reporting, and to harmonize regional land cover characterizations. Here we present a semi-automatic, operational algorithm for mapping and monitoring of woody vegetation canopy cover and height at a regiona ...
DOI:
10.1016/j.rse.2019.111278

764. Dominant control of climate variations over land-use change on net primary productivity under different urbanization intensities in Beijing, China

Author:
Tian, Yuhong; Huang, Weilin; Wu, Xiuchen; Jim, C.Y.; Wang, Xinpan; Liu, Yiqing
Source:
Acta ecologica Sinica 2019 v.39 no.5 pp. 416-424
ISSN:
1872-2032
Subject:
vegetation cover,   etc   ; anthropogenic activities; case studies; climatic factors; environmental impact; forests; land use change; models; net primary productivity; reforestation; remote sensing; spatial data; urbanization; China;     Show all 14 Subjects
Abstract:
... Climate variations and land-use change induced by rapid urbanization can lead to crucial impacts on ecosystem Net Primary Productivity (NPP), especially in regions with intensive human activity. However, the relative contributions of land-use change and climate variations to NPP changes under different urbanization intensities are still a topic of debate. This study reports on a case study in Beij ...
DOI:
10.1016/j.chnaes.2019.07.002

765. Mapping fractional cover of major fuel type components across Alaskan tundra

Author:
He, Jiaying; Loboda, Tatiana V.; Jenkins, Liza; Chen, Dong
Source:
Remote sensing of environment 2019 v.232 pp. 111324
ISSN:
0034-4257
Subject:
fractional vegetation cover,   etc   ; Landsat; boreal forests; carbon; carbon cycle; climate change; climatic factors; ecological footprint; ecoregions; fire behavior; fuel loading; fuels; landscapes; models; prediction; remote sensing; tundra; wildfires;     Show all 18 Subjects
Abstract:
... Wildland fire is common and widespread in Alaskan tundra. Tundra fires exert considerable influence on local ecosystem functioning and contribute to climate change through biogeochemical (e.g. carbon cycle) and biogeophysical (e.g. albedo) effects. These treeless landscapes are characterized by a high degree of variation in fuel loading at scales much finer than moderate (30 m) satellite observati ...
DOI:
10.1016/j.rse.2019.111324

766. Using the modified i-Tree Eco model to quantify air pollution removal by urban vegetation

Author:
Wu, Jiansheng; Wang, Yi; Qiu, Sijing; Peng, Jian
Source:
The Science of the total environment 2019 v.688 pp. 673-683
ISSN:
0048-9697
Subject:
vegetation cover,   etc   ; air; air pollution; air quality; broadleaved evergreen forests; case studies; cities; coniferous forests; evergreen trees; humans; models; particulates; planting; pollution control; spatial distribution; surface area; urbanization; China;     Show all 18 Subjects
Abstract:
... Fine particulate matter (PM2.5) can pose health problems for humans following urbanization. Because urban vegetation has a large surface area to filter PM2.5 out of the air, it can be an effective long-term way to mitigate air pollution. Various studies have quantified PM2.5 removal by vegetation in cities, but the spatial variability of removal within cities and future scenarios have not been wel ...
DOI:
10.1016/j.scitotenv.2019.05.437

767. Using ignorance scores to explore biodiversity recording effort for multiple taxa in the Caatinga

Author:
Correia, Ricardo A.; Ruete, Alejandro; Stropp, Juliana; Malhado, Ana C.M.; dos Santos, Janisson W.; Lessa, Thainá; Alves, José A.; Ladle, Richard J.
Source:
Ecological indicators 2019 v.106 pp. 105539
ISSN:
1470-160X
Subject:
vegetation cover,   etc   ; biodiversity; caatinga; conservation areas; ecoregions; environmental indicators; geographical distribution; human population; models; population density; prioritization; tropical forests; universities;     Show all 13 Subjects
Abstract:
... The availability of quality information about species distributions is clearly central to the development of successful conservation efforts. Digital records of species occurrences are increasingly available and have been used in a number of conservation applications, such as species distribution models and conservation prioritization efforts. However, our knowledge of species distributions is sti ...
DOI:
10.1016/j.ecolind.2019.105539

768. Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle platform

Author:
Wang, Haozhou; Han, Dong; Mu, Yue; Jiang, Lina; Yao, Xueling; Bai, Yongfei; Lu, Qi; Wang, Feng
Source:
Agricultural and forest meteorology 2019 v.278 pp. 107665
ISSN:
0168-1923
Subject:
vegetation cover,   etc   ; Internet; arid lands; computer software; data collection; decision support systems; ecosystems; image analysis; models; regression analysis; remote sensing; shrubs; support vector machines; trees; unmanned aerial vehicles;     Show all 15 Subjects
Abstract:
... The change of fraction vegetation cover (FVC) is the key ecological index for vegetation dynamics of dryland ecosystem. However, it is difficult to directly map woody vegetation and herbaceous vegetation in the dryland from the satellite images due to the mixture of their distribution at small scale. Emerging UAV remote sensing provides a good opportunity to capture and quantify the distribution o ...
DOI:
10.1016/j.agrformet.2019.107665

769. Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?

Author:
Gholami Baghi, Naghmeh; Oldeland, Jens
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8223-8235
ISSN:
1366-5901
Subject:
vegetation cover,   etc   ; aboveground biomass; arid lands; models; moderate resolution imaging spectroradiometer; normalized difference vegetation index; prediction; rangelands; regression analysis; remote sensing; satellites; soil; Iran;     Show all 13 Subjects
Abstract:
... Satellite remote sensing has greatly facilitated the assessment of aboveground biomass in rangelands. Soil-adjusted vegetation indices have been developed to provide better predictions of aboveground biomass, especially for dryland regions. Semi-arid rangelands often complicate a remote sensing based assessment of aboveground biomass due to bright reflecting soils combined with sparse vegetation c ...
DOI:
10.1080/01431161.2019.1606958