• Title/Summary/Keyword: remote sensing reflectance

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Detection of Foliar Nutrients of Oil Palm Crop Using Remote Sensing

  • Ibrahim, Ab.Latif;Hashim, Mazlan;Rasib, Abd.Wahid;Ali, Mohamad Idris;Kadir, Wan Hazli Wan;Sumairi, Mohd Razif;Haron, Khalid
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.558-560
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    • 2003
  • This paper examines the capability of remote sensing technique for detecting and quantifying the foliar nutrients of oil palm crop. Study has been carried out in the Malaysian Palm Oil Board (MPOB) Research Station in Kluang Johore, Malaysia. Result of the study shows a strong relationship between measured foliar nutrient and the spectral reflectance measured using spectroradiometer. Model that has been developed can be used to estimate the nutrient concentration in the oil palm plantation at micro level and also at macro -level using appropriate satellite data.

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Retrieval of background surface reflectance with pre-running BRD components

  • Choi, Sungwon;Lee, Chang Suk;Seo, Minji;Seong, Noh-hun;Lee, Kyeong-Sang;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.32 no.1
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    • pp.61-65
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    • 2016
  • Importance of remote sensing for surface is increased than past. So many countries try to many ways to retrieve surface reflectance. In this study, we study a Bidirectional Reflectance Distribution Function (BRDF) to retrieve surface reflectance. We apply BRDF using observed surface reflectance of SPOT/VEGETATION (VGT-S1) and angular data to get Bidirectional Reflectance Distribution (BRD) coefficients for calculating scattering. And then we apply BRDF in the opposite direction with BRD coefficients and angular data to retrieve Background Surface Reflectance (BSR). The range of BSR is not over $0.4{\mu}m$ (blue), $0.45{\mu}m$ (red), $0.55{\mu}m$ (NIR). And for validation we compare BSR with VGT-S1, there are bias is from 0.0116 to 0.0158 and RMSE is from 0.0459 to 0.0545. As a result, we confirm that BSR is similar to VGT-S1.

Remote Sensing Cloud's Microphysical Properties by Satellite Data

  • Liu, Jian
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1258-1260
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    • 2003
  • Cloud's properties can be showed on different spectral channel. The 0.65${\mu}$m reflectance is mainly function of cloud optical thickness and reflectance of 1.6${\mu}$m is sensitive to cloud phase and particle size distribution. So we can use multi-spectral information to analysis cloud's microphysical properties.

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Spectral Reflectance Characteristics for Five Soils at Chungbuk Prefecture and Tideland Soil Using Remote Sensing Technology (원격탐사(RS) 기법을 이용한 충북지역 5개 토양과 갯벌토양의 분광반사특성)

  • Park, Jong-Hwa;Shin, Yong-Hee;Lee, Sang-Hyuk
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.6 no.1
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    • pp.34-40
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    • 2003
  • The deterioration of agricultural environment, which is characterized by dryness and desertification of land, is one of the main reasons which explain the recent decrease of land productivity. To solve these environmental problems, it is very important to make clear the mechanism between soil, water, vegetation and temperature. The main objective of this study is to provide a soil surface information, which represent a soil reflectance spectrum, by remote sensing technology. The soil reflectance of the soil was measured using a spectro-radiometer in the wavelength range from 300nm to 1100nm. The results suggest that the reflectance properties of soils are related to their mineral composition and soil moisture. Increasing soil moisture resulted in an decrease in the rate of reflectance which leads to parallel curves of soil reflectance spectra.

Determining Canopy Growth Conditions of Paddy Rice via Ground-based Remote Sensing

  • Jo, Seunghyun;Yeom, Jongmin;Ko, Jonghan
    • Korean Journal of Remote Sensing
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    • v.31 no.1
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    • pp.11-20
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    • 2015
  • This study aimed to investigate the canopy growth conditions and the accuracy of phenological stages of paddy rice using ground-based remote sensing data. Plant growth variables including Leaf Area Index (LAI) and canopy reflectance of paddy rice were measured at the experimental fields of Chonnam National University, Gwangju, Republic of Korea during the crop seasons of 2011, 2012, and 2013. LAI values were also determined based on correlations with Vegetation Indices (VIs) obtained from the canopy reflectance. Three phenological stages (tillering, booting, and grain filling) of paddy rice could be identified using VIs and a spatial index (NIR versus red). We found that exponential relationships could be applied between LAI and the VIs of interest. This information, as well as the relationships between LAI and VIs obtained in the present study, could be used to estimate and monitor the relative growth and development of rice canopies during the growing season.

Spectral Reflectance Patterns by Artificial Acid Rain in Pinus and Quercus species

  • Lee, Seong-Ho;Kim, Cheol-Min;Oh, Dong-Ha
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.382-386
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    • 1998
  • The objectives of this study are to reveal relationship between tree physiology and spectral reflectance on effects of artificial acid rain and to obtain basic data on optimal wave length for forest of LRC sensor on KOMPSAT-2. Three pH levels of artificial acid rain - control, pH4.5 and pH3.0 - were applied to Pinus and Quercus species. Three types of the acid rain were spraied at the amount of 500m1 in every two days. Spectral reflectance data was collected once in a month by using GER 1500 (350~2500nm) or Ll 1800(300~1100nm) Spectroradiometer. The data was measured three times in a pH level. The results of this study are as follows; in April, the spectral reflectance of Pinus species was high in order at the level of pH3.0, control and pH4.5; in May, control, pH3.0 and pH4.5; in June, control, pH4.5 and pH3.0. That of Quercus species was high in the order of control, pH4.5 and pH3.0 in May; in June, control, pH3.0 and pH4.5, especially, within infrared wave length range, control, pH4.5 and ph3.0.

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Spectral Characteristics of Shallow Turbid Water near the Shoreline on Inter-tidal Flat

  • Lee, Kyu-Sung;Kim, Tae-Hoon;Yun, Yeo-Sang;Shin, Sang-Min
    • Korean Journal of Remote Sensing
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    • v.17 no.2
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    • pp.131-139
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    • 2001
  • Extraction of waterline in tidal flat has been one of the main concerns in the remote sensing of coastal region. This study aimed to define the spectral characteristics of turbid water near the shoreline and to find the appropriate spectrum to delineate the waterline at the inter-tidal flat in the western coast of Korean Peninsula. Spectral reflectance curves were obtained by the field measurements under the diverse condition of water depth and turbidity at the study area in Kyong-gi Bay. Spectroscopy measurements showed that reflectances of the exposed mudflat, shallow turbid water, and normal coastal water were significantly different by wavelength. Shallow water near the waterline showed diverse conditions of turbidity. Spectral reflectance tends to increase as turbidity increases, particularly at the visible and near infrared spectrum. At the middle infrared wavelength, tidal water showed very little reflectance regardless of the turbidity and water depth and was easily disting from the exposed tidal flat. The exact waterline between exposed tidal flat and seawater should be extracted from the image data obtained at the middle infrared wavelength.

Modeling the optical properties of phytoplankton and their influence on chlorophyll estimation from remote sensing algorithms

  • Zhou, Wen;Cao, Wen-Xi
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.479-482
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    • 2006
  • The absorption coefficient and backscattering properties of phytoplankton were calculated from the Mie theory. Given a simple case that phytoplankton and mineral particles are the only constitutions in seawater, the reflectance $b_b({\lambda})/[a({\lambda})+b_b({\lambda})]$was analyzed. Then the chlorophyll concentrations were estimated from remote sensing OC2 algorithm. The results show that reflectance in short wavelength region is more sensitive to the Chl variation; High mineral concentrations in seawater have significant influence on the reflectance spectrum; the existence of high mineral concentration may result in the mistake in chlorophyll estimation from OC2 algorithm.

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Generation of Forest Leaf Area Index (LAI) Map Using Multispectral Satellite Data and Field Measurements

  • Lee, Kyu-Sung;Kim, Sun-Hwa;Park, Yoon-Il;Jang, Ki-Chang
    • Korean Journal of Remote Sensing
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    • v.19 no.5
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    • pp.371-380
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    • 2003
  • The primary objective of this study is to develop a suitable methodology to generate forest leaf area index (LAI) map at regional and local scales. To build empirical models, we collected the LAI values at 30 sample plots over the forest within the kyongan watershed area by the field measurements using an optical instrument. Landsat-7 ETM+ multispectral data obtained at the same growing season with the field LAI measurement were used. Three datasets of remote sensing signal were prepared for analyzing the relationship with the field measured LAI value and they include raw DN, atmospherically corrected reflectance, and topographically corrected reflectance. From the correlation analysis and regression model development, we found that the radiometric correction of topographic effects was very critical step to increase the sensitivity of the multispectral reflectance to LAI. In addition, the empirical model to generate forest LAI map should be separately developed for each of coniferous and deciduous forest.

Aerosol Optical and Spectral Characteristics in Yellow Sand Events on April, 1998 in Seoul. Part I: Observation (분광복사계와 일사계 관측에 의한 황사 및 에어러솔의 광학적 특성 연구)

  • Hye-Sook Park;Hyo-Sang Chung;Gyun-Myeong Bag;Hong-Ju Yoon
    • Korean Journal of Remote Sensing
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    • v.14 no.3
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    • pp.307-314
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    • 1998
  • To examine the detectability of the yellow sand and/or aerosol from China crossing over the Yellow Sea within the range of OSMI wavelengths(400-900 nm), we have investigated the optical characteristics of aerosols in yellow sand events observed on April, 1998 in Seoul. The spectral reflectance(%) and aerosol optical thickness in the range of Visible(VIS) and near Infrared (NIR) wavelengths were derived from the measurements of solar radiation using the GER-2600 spectroradiometer and sunphotometer during the April, 1798. The average spectral reflectance for the yellow sand events is over 40% and higher around 14:30 than 12:00 LST, but that for clear days is about 20% both at 12:00 and 14:30 LST in the range of 500-900 nm. The aerosol optical thickness at 501 nm varied from 0.25 on very clear day to 1.01 during a so-called "yellow-sand" episode and that for 673 nm varied from 0.14 to 0.92, respectively.