scholarly journals Identification of Rainfall and Inundation pattern using remotely sensed data in Lake Sentarum Floodplain Area

2021 ◽  
Vol 2 (2) ◽  
pp. 9-20
Author(s):  
Fajar Setiawan ◽  
Iwan Ridwansyah ◽  
Luki Subehi
Keyword(s):  
Surface Water ◽  
National Park ◽  
Research Centre ◽  
Remotely Sensed Data ◽  
Natural Habitats ◽  
Joint Research ◽  
Rainfall Analysis ◽  
Water Index ◽  
Inundation Area ◽  
Park Area

Wetlands are vulnerable natural habitats that should be preserved to protect habitat for fish and wildlife, flood mitigation, improve water quality, recharge area, and maintain surface water flow during dry periods. Water bodies and swamp areas are two primary components of the wetland. Considering its essential roles for the ecosystem, Lake Sentarum was set as a national park area (Lake Sentarum National Park – TNDS), Indonesia's 15 national priority lakes, and; designated as a Ramsar site (The Convention on Wetlands) in Indonesia. Despite the significant roles for the ecosystem, providing the limnological characteristic of Lake Sentarum remains a challenge due to its remote location. This study aims to identify the rainfall and inundation characteristics in the Lake Sentarum area and develop the rainfall-inundation relationship in the TNDS area. First, we carried out rainfall analysis using the Climate Forecast System Reanalysis (CFSR) data. Second, we utilized a remote-sensing-based global surface water map from the Joint Research Centre (JRC) to describe the historical inundation pattern. Third, we applied the Normalized Different Water Index (NDWI) combined with Modification Normalized Different Water Index (MNDWI) to the selected Landsat dataset to extract the inundation area. Finally, we developed a rainfall-inundation relationship in the TNDS area. The result indicated that the yearly rainfall in the TNDS area has an increasing trend, with the highest peak in December and the second peak in April. Historical Landsat data shows that the TNDS has a complex pattern of inundation. The maximum water extent was 649 km2, with a 95 km2 as permanent (90>- 100 % water occurrence). These areas were constantly flooded, even in the dry season. The most significant non-permanent water was 161 km2 (80>- 90 % water occurrence). This permanent and larger temporary water area provides fish and other aquatic biotas habitats. It temporarily stores the water flowing slowly into the River Kapuas through the Tawang River. We captured the spatial inundation pattern and its relationship with the temporal regional rainfall. The developed relationship showed a lag of -60 days of accumulated rainfall correlated with the inundation area (R2 of 0.48, n=11). These findings will thus provide valuable data for lake managers and policy-makers to protect the biota and habitat in Lake Sentarum National Park area.

scholarly journals GHS-POP Accuracy Assessment: Poland and Portugal Case Study

2020 ◽  
Vol 12 (7) ◽  
pp. 1105
Author(s):  
Beata Calka ◽  
Elzbieta Bielecka
Keyword(s):  
Population Distribution ◽  
Accuracy Assessment ◽  
Local Level ◽  
National Level ◽  
Error Rates ◽  
Research Centre ◽  
Percentage Error ◽  
Remotely Sensed Data ◽  
Joint Research ◽  
Population Number

The Global Human Settlement Population Grid (GHS-POP) the latest released global gridded population dataset based on remotely sensed data and developed by the EU Joint Research Centre, depicts the distribution and density of the total population as the number of people per grid cell. This study aims to assess the GHS-POP data accuracy based on root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) and the correlation coefficient. The study was conducted for Poland and Portugal, countries characterized by different population distribution as well as two spatial resolutions of 250 m and 1 km on the GHS-POP. The main findings show that as the size of administrative zones decreases (from NUTS (Nomenclature of Territorial Units for Statistics) to LAU (local administrative unit)) and the size of the GHS-POP increases, the difference between the population counts reported by the European Statistical Office and estimated by the GHS-POP algorithm becomes larger. At the national level, MAPE ranges from 1.8% to 4.5% for the 250 m and 1 km resolutions of GHS-POP data in Portugal and 1.5% to 1.6%, respectively in Poland. At the local level, however, the error rates range from 4.5% to 5.8% in Poland, for 250 m and 1 km, and 5.7% to 11.6% in Portugal, respectively. Moreover, the results show that for densely populated regions the GHS-POP underestimates the population number, while for thinly populated regions it overestimates. The conclusions of this study are expected to serve as a quality reference for potential users and producers of population density datasets.

Wasur National Park Hall's Role In Raising The Local People's Income Wasur Village

2019 ◽  
Vol 2 (01) ◽  
pp. 44-52
Author(s):  
Paul Adryani Moento ◽  
Nikolaus Unawekla
Keyword(s):  
Forest Fires ◽  
Local Governments ◽  
National Park ◽  
Local Community ◽  
Counseling Center ◽  
Monitoring And Evaluation ◽  
Field Studies ◽  
Oil Refining ◽  
Salted Fish ◽  
Park Area

  The welfare level of the population in Wasur Park village is still very low and most still hang its life by taking the result of the forest. This study aims to analyze the role of Wasur Park National Park in increasing local people's income. The method by which researchers use a qualitative approach, while the data collection techniques consist of library studies and field studies through observation, interviews. The process of data analysis includes data reduction, data presentation, and the conclusion of the empowerment of the National Park Wasur Park Hall is counseling to the local community in the framework of the Empowerment Program of local Kampung Wasur Park. In the empowerment, Wasur Park National Park is coordinating with local governments to see the development of local community data. The real evidence of Wasur Park National Park through empowerment is the establishment of a rural forestry Counseling Center (SPKP). The establishment of a rural forestry Counseling Center (SPKP) in Wasur Village, implemented after the implementation of education and training of village studies in participatory. Furthermore, Wasur Park National Park Hall conducts construction. The construction is a construction of small industry of eucalyptus oil refining, the manufacture of salted fish, medicinal plants, and the cultivation of commercial crops. Then the community in providing coaching through socialization by providing science about preserving the forest and protection and safeguarding the potential of Wasur National Park area. Then Wasur Park National Park Hall conducts supervision. Supervision conducted by the National Park Hall Wasur Park is monitoring against the hunting of many protected animals located in Wasur Park National Park area. In the Garden Hall program, Wasur Park is monitoring and evaluation of habitat and population. The Wasur Park National Park Hall conducts a regular patrol, preventing wild hunters from Wasur Park National Park. Then patrol is also done to prevent forest fires.

Developing land-state maps of Tram Chim National Park in Vietnam based on monitoring results

2020 ◽  
Vol 963 (9) ◽  
pp. 53-64
Author(s):  
V.F. Kovyazin ◽  
Thi Lan Anh Dang ◽  
Viet Hung Dang
Keyword(s):  
National Park ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Likelihood Method ◽  
Wetland Area ◽  
Water Index ◽  
Effi Ciency ◽  
Normalized Difference Water Index ◽  
Specially Protected Natural Areas ◽  
Protected Natural Areas

Tram Chim National Park in Southern Vietnam is a wetland area included in the system of specially protected natural areas (SPNA). For the purposes of land monitoring, we studied Landsat-5 and Sentinel-2B images obtained in 1991, 2006 and 2019. The methods of normalized difference vegetation index (NDVI) and water objects – normalized difference water index (NDWI) were used to estimate the vegetation in National Park. The allocated land is classifi ed by the maximum likelihood method in ENVI 5.3 into categories. For each image, a statistical analysis of the land after classifi cation was performed. Between 1991 and 2019, land changes occurred in about 57 % of the Tram Chim National Park total area. As a result, the wetland area has signifi cantly reduced there due to climate change. However, the area of Melaleuca forests in Tram Chim National Park has increased due to the effi ciency of reforestation in protected areas. Melaleuca forests are also being restored.

INDICATIONS OF SURFACE WATER CONTAMINATION OF DRINKING WATER IN THE SAGARMATHA NATIONAL PARK, NEPAL

2017 ◽  
Author(s):  
Klaus Neumann ◽  
◽  
Kirsten N. Nicholson ◽  
Carolyn B. Dowling ◽  
Leah Wood ◽  
...  
Keyword(s):  
Drinking Water ◽  
Surface Water ◽  
National Park ◽  
Water Contamination ◽  
Surface Water Contamination ◽  
Sagarmatha National Park

Climate Influence Vs. Local Drivers in Surface Water-Groundwater Interactions in Eight Ponds of Doñana National Park (Southern Spain)

Wetlands ◽  
2021 ◽  
Vol 41 (2) ◽  
Author(s):  
Miguel Rodríguez-Rodríguez ◽  
Héctor Aguilera ◽  
Carolina Guardiola-Albert ◽  
Ana Fernández-Ayuso
Keyword(s):  
Surface Water ◽  
National Park ◽  
Southern Spain ◽  
Doñana National Park
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