Development of a software package for ADEOS and NOAA data analysis

Shimoda, Haruhisa; Fukue, Kiyonari; Cho, K.; Matsuoka, Ryuji; Hashimoto, Takashi; Nemoto, Toshihiro; Tokunaga, Mitsuharu; Tanba, S.; Takagi, Masataka

doi:10.1109/igarss.1998.699547

Cited by 6 publications

(5 citation statements)

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“…The reason for the choice of GCPs on coastal boundaries is simpler discrimination between land and sea on thermal channel 4, which is used for matching. The accuracy of geometric correction is reported about one pixel for the scenes where clouds does not obscure majority of GCPs (Shimoda et al 1998). The same accuracy holds for registration of subsequent scenes.…”

Section: Data Pre-processingmentioning

confidence: 80%

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Creating a forest fire database for the Far East of Asia using NOAA/AVHRR observation

Kučera

Yasuoka

Dye

2005

International Journal of Remote Sensing

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This study proposed a method for burned area accounting that uses data from the Advanced Very High Resolution Radiometer (AVHRR) onboard the National Oceanic and Atmospheric Administration (NOAA) satellite series. As an area of interest, the boreal forest zone located in the Far East region of Asia was used. The burn scar mapping algorithm consists of two parts. The first is a multi-channel threshold algorithm used for detection of real-time burning spots in the boreal environment. The second part uses an abrupt change-detection technique in Normalized Difference Vegetation Index (NDVI) in an 18-year NDVI time series. Both parts of the algorithm are connected together in a complementary manner, and a forest burn scar mask is obtained for each month and consequently for each year from 1984 to 2001. The validation of the dataset was performed using data from the literature, forestry management organizations and the Landsat Thematic Mapper (TM). The comparison between those validation data and our forest fire dataset shows a satisfactory level of agreement. If the forest fire history is required for other regions in the boreal zone, the proposed methodology could be extended to that region given that a sufficient data archive is available.

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Section: Data Pre-processingmentioning

confidence: 80%

“…The same accuracy holds for registration of subsequent scenes. Details about the PaNDA software can be found in PaNDA documentation (ftp://ftp.tric.u-tokai.ac.jp/outgoing/panda/) and in Shimoda et al (1998).…”

Section: Data Pre-processingmentioning

confidence: 99%

Creating a forest fire database for the Far East of Asia using NOAA/AVHRR observation

Kučera

Yasuoka

Dye

2005

International Journal of Remote Sensing

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“…The AVHRR images were pre-processed using PaNDA (Package for NOAA Data Analysis) software package (Shimoda et al 1998, which included format conversion, radiometric correction, atmospheric correction and geometric correction. In the format conversion, the hierarchical data format was converted to meta data format for subsequent correction.…”

Section: Methodology 231 Extraction Of Sea Ice Areamentioning

confidence: 99%

Multidecadal anomalies of Bohai Sea ice cover and potential climate driving factors during 1988–2015

Shao

et al. 2017

Environ. Res. Lett.

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Despite the backdrop of continuous global warming, sea ice extent has been found not to consistently decrease across the globe, and instead exhibit heterogeneous variability at middle to high latitudes. However, the existing studies are focused primarily on high latitude frozen seas, while studies on the long-term variability of sea ice cover at middle latitudes are generally lacking. Afforded by continuous satellite imagery, evolution of sea ice cover over nearly three decades from 1988 to 2015 in the Bohai Sea as a peculiar mid-latitude frozen sea area is reported for the first time. An anomalous trend of slight overall increase of 1.38 ± 1.00% yr–1 (R = 1.38, i.e. at a statistical significance of 80%) in Bohai Sea ice extent was observed over the 28 year period. The detrended annual average ice area (AAIA) was further found to correlate with a slight decreasing mean ice-period average temperature (IAT, r = –0.58, p < 0.01) of 11 meteorological stations around the Bohai Sea as well as a mild increasing cumulative freezing degree days (CFDD, r = 0.65, p < 0.01). Correlation with decreasing Arctic Oscillation (AO) index (r = –0.60, p < 0.01) and North Atlantic Oscillation (NAO) index (r = –0.69, p < 0.01) over the study period suggested AO and NAO as the primary large-scale climate factors for Bohai Sea ice. In addition, the seasonal cycle of ice cover showed a single peak with longer freezing phase than melting phase, due to the different temperature change rate during the freezing and melting phases. The results can provide important references for monitoring the recent climate change in the region and beyond.

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“…The AVHRR data were geometrically corrected based on ground control point (GCP) matching using PaNDA software, and the registration error over the image was less than 1 pixel. PaNDA is a free software package for NOAA data analysis (Shimoda et al. 1998).…”

Section: Methodsmentioning

confidence: 99%

Temporal variations in soil–atmosphere methane exchange after fire in a peat swamp forest in West Siberia

Nakano

Takeuchi

Inoue

et al. 2006

Soil Science and Plant Nutrition

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Temporal variations in methane (CH 4 ) exchange between the soil and the atmosphere during a period of 3 years after a forest fire were estimated by combining field measurements of CH 4 flux with an analysis of satellite images. The study area was located in a boreal peat swamp forest in the West Siberian plain that experienced a severe fire in the summer of 1998. The surface of the burned area was classified into bare soil, open water and recovered vegetation. In the summers of 1999 and 2000, CH 4 fluxes, using a closedchamber method, and environmental variables, such as soil temperature and soil water content, for each of the three surface types in the burned area and in the unburned area were measured. In general, CH 4 fluxes were controlled by the surface moisture in the burned area and by the temperature in the unburned forest. Temporal changes in the areal coverage of soil, water and vegetation in the burned area were investigated using NOAA AVHRR (Advanced Very High Resolution Radiometer) data with subpixel land-cover characterization. Based on the satellite information, temporal changes in the moisture conditions of the burned surface were estimated and temporal variations in the CH 4 fluxes for the entire burned area were calculated. The cumulative CH 4 emission rates from the entire burned area during the summer (from June to August) were estimated to range from 0.39 to 0.48 g C m −2 during the period from 1999 to 2001. In contrast, unburned forest soils were consistently net CH 4 consumers. The cumulative consumption rate during the summer was calculated to be approximately 0.4 g C m −2 based on a reanalysis air temperature dataset. As the surface soil had become extremely wet since the fire, the soil had become a net emitter of CH 4 after the fire disturbance, although CH 4 oxidation predominated in the unburned forest.

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Development of a software package for ADEOS and NOAA data analysis

Cited by 6 publications

References 0 publications

Creating a forest fire database for the Far East of Asia using NOAA/AVHRR observation

Creating a forest fire database for the Far East of Asia using NOAA/AVHRR observation

Multidecadal anomalies of Bohai Sea ice cover and potential climate driving factors during 1988–2015

Temporal variations in soil–atmosphere methane exchange after fire in a peat swamp forest in West Siberia

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