Autor: Laosuwan, T. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Estimation of land surface temperature using Landsat satellite data: A case study of Mueang Maha Sarakham District, Maha Sarakham Province, Thailand for the years 2006 and 2015
Autorzy:: Rotjanakusol, T.
Laosuwan, T.
Powiązania:: https://bibliotekanauki.pl/articles/886547.pdf
Data publikacji:: 2018
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Źródło:: Scientific Review Engineering and Environmental Sciences; 2018, 27, 4[82]
1732-9353
Pojawia się w:: Scientific Review Engineering and Environmental Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of Remote Sensing for Temperature Monitoring: the Technique for Land Surface Temperature Analysis
Autorzy:: Laosuwan, T.
Gomasathit, T.
Rotjanakusol, T.
Powiązania:: https://bibliotekanauki.pl/articles/123648.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: remote sensing
Landsat-8 OLI/TIR data
land surface temperature
Opis:: This research aimed to present the technique for land surface temperature analysis with the data from Landsat-8 Operational Land Imager (OLI) /Thermal Infrared Sensors (TIR) in Meuang Maha Sarakham District, Maha Sarakham Province, Northeast Thailand. The research was conducted as following three steps: 1) Collecting the satellite data in thermal infrared band from Landsat-8 TIR satellite to adjust the value of Top of Atmosphere (ToA) Reflectance and then analyzing the land Surface temperature 2) Collecting multi-band data from Landsat-8 OLI satellite to adjust the value of Top of Atmosphere (ToA) Reflectance and then analyzing values of Normalized Difference Vegetation Index (NDVI), Fractional Vegetation Cover (FVC) and Land surface Emissivity (LSE) 3) Bringing the results of 1) and 2) to analyze the land surface temperature with split window algorithm. The research results indicated that the analysis of the data from Landsat-8 OLI/TIR satellites in 18 March 2015 indicated a mean temperature of 33.57 °C.
Źródło:: Journal of Ecological Engineering; 2017, 18, 3; 53-60
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Carbon Sequestration Assessment of the Orchards Using Satellite Data
Autorzy:: Uttaruk, Y.
Laosuwan, T.
Powiązania:: https://bibliotekanauki.pl/articles/123333.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: carbon sequestration assessment
satellite data
vegetation indices
Opis:: This study aimed to estimate above-ground carbon sequestration of orchards using satellite data. The research methodology analyzed the relationship between the amount of above-ground carbon sequestration and vegetation indices from the data obtained from LANDSAT 8 OLI including (1) Difference Vegetation Index (DVI), (2) Green Vegetation Index (GVI), (3) Simple Ratio (SR), (4) Normalized Difference Vegetation Index (NDVI), and (5) Transformed Normalized Difference Vegetation Index (TNDVI) in order to find out the most appropriate equation to estimate above-ground carbon sequestration of the orchards in the study area at Sang Kho sub district, Phu Phan district, Sakon Nakhon province in northeast Thailand. The study results found that the relationship between the amount of above-ground carbon sequestration and the most appropriate index relating to vegetation was TNDVI. At any rate, TNDVI had the relationship equation y = 0.226e^0.039x and coefficient of determination R² = 0.877, which represented the amount of above-ground carbon sequestration in the study area in a total of 40.86 tons per hectare.
Źródło:: Journal of Ecological Engineering; 2017, 18, 1; 11-17
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology
Autorzy:: Uttaruk, Y.
Laosuwan, T.
Powiązania:: https://bibliotekanauki.pl/articles/125427.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: drought detection
remote sensing
vegetation phenology
Opis:: Drought is a natural phenomenon as it often occurs in the area of Yasothon province, northeastern of Thailand. It causes effects on vegetation condition in the area. Drought information might be useful for local government to prepare for prevention and mitigation plan in the future. For this reason, the primary objective of the research was to conduct the examination of this province to find severe drought years. Firstly, the researcher needed to find Normalized Differences Vegetation Index (NDVI) and Vegetation Condition Index (VCI) by analyzing monthly Landsat data acquired at different periods of time from January to December 2014, 2015, and 2016, covering 4,096 km². Then, the researcher needed to find relationship between VCI and monthly rainfall represented in term of space and time. As results, VCI and its relationship with monthly rainfall were congruent. VCI showed that the drought area was 33.87% or 1,387.32 km² of studied area in 2014, 16.24% or 665.19 km² of studied area in 2015 and 27.95% or 1,144.83 km² of studied area in 2016. Therefore, the most and the least severe drought years were 2014, 2016, and 2015 respectively.
Źródło:: Journal of Ecological Engineering; 2017, 18, 6; 115-121
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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