scholarly journals Estimating Forest Aboveground Biomass by Combining ALOS PALSAR and WorldView-2 Data: A Case Study at Purple Mountain National Park, Nanjing, China

2014 ◽  
Vol 6 (9) ◽  
pp. 7878-7910 ◽  
Author(s):  
Songqiu Deng ◽  
Masato Katoh ◽  
Qingwei Guan ◽  
Na Yin ◽  
Mingyang Li
Keyword(s):  
Aboveground Biomass ◽  
National Park ◽  
Alos Palsar ◽  
Forest Aboveground Biomass

Assessment of dual polarization in Sentinel-1 data for estimating forest aboveground biomass: case study of Barru Regency, South Sulawesi

2019 ◽  
Author(s):  
Wahyu Hendardi Giri Ananto ◽  
Haeydar Anggara Hadi ◽  
Ade Febri Sandhini Putri ◽  
Difa Nisrina Hanum ◽  
Bayu Kurnia Puji Wiryawan ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Dual Polarization ◽  
South Sulawesi ◽  
Forest Aboveground Biomass

scholarly journals The Utilization of ALOS PALSAR Image to Estimate Natural Forest Biomass: Case Study at Bogani Nani Wartabone National Park

Jurnal Wasian ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Nurlita Indah Wahyuni
Keyword(s):  
Remote Sensing ◽  
National Park ◽  
Satellite Image ◽  
Forest Biomass ◽  
Research Area ◽  
Natural Forest ◽  
Alos Palsar ◽  
Remote Sensing Technology ◽  
Sensing Technology

The development of remote sensing technology makes it possible to utilize its data in many sectors including forestry. Remote sensing image has been used to map land cover and monitor deforestation. This paper presents utilization of ALOS PALSAR image to estimate and map aboveground biomass at natural forest of Bogani Nani Wartabone National Park especially SPTN II Doloduo and SPTN III Maelang. We used modeling method between biomass value from direct measurement and digital number of satellite image. There are two maps which present the distribution of biomass and carbon from ALOS PALSAR image with 50 m spatial resolution. These maps were built based on backscatter polarization of HH and HV bands. The maps indicate most research area dominated with biomass stock 0-5.000 ton/ha.

scholarly journals Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park, Gabon: overcoming problems of high biomass and persistent cloud

2012 ◽  
Vol 9 (1) ◽  
pp. 179-191 ◽  
Author(s):  
E. T. A. Mitchard ◽  
S. S. Saatchi ◽  
L. J. T. White ◽  
K. A. Abernethy ◽  
K. J. Jeffery ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Aboveground Biomass ◽  
National Park ◽  
Radar Data ◽  
Optical Data ◽  
Biomass Estimation ◽  
Lidar Data ◽  
High Biomass ◽  
Alos Palsar ◽  
Lope National Park

Abstract. Spatially-explicit maps of aboveground biomass are essential for calculating the losses and gains in forest carbon at a regional to national level. The production of such maps across wide areas will become increasingly necessary as international efforts to protect primary forests, such as the REDD+ (Reducing Emissions from Deforestation and forest Degradation) mechanism, come into effect, alongside their use for management and research more generally. However, mapping biomass over high-biomass tropical forest is challenging as (1) direct regressions with optical and radar data saturate, (2) much of the tropics is persistently cloud-covered, reducing the availability of optical data, (3) many regions include steep topography, making the use of radar data complex, (5) while LiDAR data does not suffer from saturation, expensive aircraft-derived data are necessary for complete coverage. We present a solution to the problems, using a combination of terrain-corrected L-band radar data (ALOS PALSAR), spaceborne LiDAR data (ICESat GLAS) and ground-based data. We map Gabon's Lopé National Park (5000 km2) because it includes a range of vegetation types from savanna to closed-canopy tropical forest, is topographically complex, has no recent contiguous cloud-free high-resolution optical data, and the dense forest is above the saturation point for radar. Our 100 m resolution biomass map is derived from fusing spaceborne LiDAR (7142 ICESat GLAS footprints), 96 ground-based plots (average size 0.8 ha) and an unsupervised classification of terrain-corrected ALOS PALSAR radar data, from which we derive the aboveground biomass stocks of the park to be 78 Tg C (173 Mg C ha−1). This value is consistent with our field data average of 181 Mg C ha−1, from the field plots measured in 2009 covering a total of 78 ha, and which are independent as they were not used for the GLAS-biomass estimation. We estimate an uncertainty of ±25% on our carbon stock value for the park. This error term includes uncertainties resulting from the use of a generic tropical allometric equation, the use of GLAS data to estimate Lorey's height, and the necessity of separating the landscape into distinct classes. As there is currently no spaceborne LiDAR satellite in operation (GLAS data is available for 2003–2009 only), this methodology is not suitable for change-detection. This research underlines the need for new satellite LiDAR data to provide the potential for biomass-change estimates, although this need will not be met before 2015.

Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam

2019 ◽  
Vol 50 ◽  
pp. 24-32 ◽  
Author(s):  
An Thi Ngoc Dang ◽  
Subrata Nandy ◽  
Ritika Srinet ◽  
Nguyen Viet Luong ◽  
Surajit Ghosh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Aboveground Biomass ◽  
National Park ◽  
Biomass Estimation ◽  
Forest Aboveground Biomass

scholarly journals Performance of various speckle filter methods in modelling forest aboveground biomass using Sentinel-1 data: case study of Barru Regency, South Sulawesi

2019 ◽  
Author(s):  
Wahyu Hendardi Giri Ananto ◽  
Ade Febri Sandhini Putri ◽  
Haeydar Anggara Hadi ◽  
Difa Nisrina Hanum ◽  
Bayu Kurnia Puji Wiryawan ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
South Sulawesi ◽  
Filter Methods ◽  
Forest Aboveground Biomass

Shale Resources, Parks Conservation, and Contested Public Lands in North Dakota’s Theodore Roosevelt National Park: Is Fracking Booming?

2020 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Miriam R. Aczel ◽  
Karen E. Makuch
Keyword(s):  
National Park ◽  
Oil And Gas ◽  
The United States ◽  
Federal Agencies ◽  
Cultural Significance ◽  
Theodore Roosevelt ◽  
Natural Beauty ◽  
Theodore Roosevelt National Park ◽  
Bakken Shale

This case study analyzes the potential impacts of weakening the National Park Service’s (NPS) “9B Regulations” enacted in 1978, which established a federal regulatory framework governing hydrocarbon rights and extraction to protect natural resources within the parks. We focus on potential risks to national parklands resulting from Executive Orders 13771—Reducing Regulation and Controlling Regulatory Costs [1]—and 13783—Promoting Energy Independence and Economic Growth [2]—and subsequent recent revisions and further deregulation. To establish context, we briefly overview the history of the United States NPS and other relevant federal agencies’ roles and responsibilities in protecting federal lands that have been set aside due to their value as areas of natural beauty or historical or cultural significance [3]. We present a case study of Theodore Roosevelt National Park (TRNP) situated within the Bakken Shale Formation—a lucrative region of oil and gas deposits—to examine potential impacts if areas of TRNP, particularly areas designated as “wilderness,” are opened to resource extraction, or if the development in other areas of the Bakken near or adjacent to the park’s boundaries expands [4]. We have chosen TRNP because of its biodiversity and rich environmental resources and location in the hydrocarbon-rich Bakken Shale. We discuss where federal agencies’ responsibility for the protection of these lands for future generations and their responsibility for oversight of mineral and petroleum resources development by private contractors have the potential for conflict.

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