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  • *湯 秋鴻, 沖 大幹, 胡 和平
    水文・水資源学会研究発表会要旨集
    2005年 18 巻 P-48
    発行日: 2005年
    公開日: 2005/07/25
    会議録・要旨集 フリー
  • 永谷 泉, 斎藤 元也, 小川 茂男, 宋 献方
    日本リモートセンシング学会誌
    2003年 23 巻 5 号 555-562
    発行日: 2003/12/31
    公開日: 2009/05/22
    ジャーナル フリー
    Remote sensing is powerful technique for large area observation at once. We developed the monitoring system of near real time for agricultural disaster at coastal zone of China using NOAA/AVHRR data. Current ten-day composite of Normalized Difference Vegetation Index (
    NDVI
    ) is compared with the average of ten day
    NDVI
    composite of past three years. The average
    NDVI
    images are created using the ten-day composite data of 1997-1999. To reduce the cloud noise, the maximum value of
    NDVI
    is used for ten-day composite. The negative
    NDVI
    pixels are eliminated at the calculation of the average, since there are the cloud pixels even in ten-day composite. Then, the difference
    NDVI
    values are calculated as current composite
    NDVI
    minus the average
    NDVI
    images and negative difference (<-0.1) pixels are listed as drought risk area in spring and summer. Using the difference
    NDVI
    images of Northeast China, we can realize drought damage on agricultural land and grassland.
  • 渡辺 浩明, 風間 聡, 沢本 正樹
    水工学論文集
    2004年 48 巻 145-150
    発行日: 2004/02/01
    公開日: 2010/06/04
    ジャーナル フリー
    The
    NDVI
    data set is used for the estimation of evapotranspiration. Evapotranspiration in paddy fields is estimated using the solar radiation method instead of
    NDVI
    . The estimated flux by
    NDVI
    and solar radiation method is compared with single layer model as physical method. As a result of the comparison, the singlelayer model method shows smaller evapotranspiration. Considering the evaporation by canopy interception in singlelayer model, evapotranspiration estimated by both models show the near value in forest area.
    NDVI
    method shows smaller evapotranspiration in city area. We understand that
    NDVI
    method underestimates evapotranspiration in city area. However, distribution pattern is quite similar and it concludes that
    NDVI
    method could estimate evapotranspiration.
  • 出口 律子, 辻 博之, 村上 則幸
    農作業研究
    2023年 58 巻 2 号 73-81
    発行日: 2023/06/20
    公開日: 2023/12/20
    ジャーナル フリー

    近年取得が容易になった

    NDVI
    (Normalized Difference Vegetation Index:正規化植生指数)について,光源を有する携帯型
    NDVI
    センサ値(H-
    NDVI
    )とマルチスペクトルカメラおよびスペクトル日照センサを搭載しているドローンの画像から計算される
    NDVI
    値(D-
    NDVI
    )を比較し,D-
    NDVI
    から換算したH-
    NDVI
    の二乗平均平方根誤差(RMSE),および,想定される誤差と生育診断に使用される
    NDVI
    の範囲から両者の換算の必要性を明らかにした.また,太陽光の条件の差がD-
    NDVI
    に与える影響を調べた.バレイショ(Solanum tuberosum L.)の「コナヒメ」と「とうや」2品種の畑ほ場の調査区を対象にD-
    NDVI
    H-
    NDVI
    を測定したところ,有意差は認められず,決定係数0.98以上,傾きは0.976から0.994,切片0.005から0.017の回帰式が得られた.この2つの回帰式は統計的に併合可能で,RMSEは0.036と充分小さかった.この併合した回帰式を用いてD-
    NDVI
    からH-
    NDVI
    への換算(換算H-
    NDVI
    )を行ったところ,D-
    NDVI
    と換算H-
    NDVI
    それぞれとH-
    NDVI
    の差の間に有意差は認められず,D-
    NDVI
    は回帰式による換算を行う必要はないと判断された.また,D-
    NDVI
    の測定値への直射日光の影響について,時間当たりの日照時間および日射量について異なる条件間で比較を行ったところ,これらの条件にかかわらず安定した測定値の取得が可能であることがわかった.

  • 小川 進, 牧野 育代, 冨久 尾歩, 斎藤 元也
    日本リモートセンシング学会誌
    2000年 20 巻 2 号 127-136
    発行日: 2000/06/30
    公開日: 2009/05/22
    ジャーナル フリー
    NDVI
    from satellite data offers various kinds of physical values related with plants. Landsat TM has high resolution and gives the seasonal change of
    NDVI
    for each land cover. Then, we proposed seasonal change models for
    NDVI
    using a logistic curve.
    NDVI
    for each land cover except water surface fitted very well with logistic curves for less than 300 Julian day. We modified the logistic curve adding a negative-slope line. This modified logistic curve expresses periodic change and gave good fit with
    NDVI
    . On the other hand, leaf area, leaf length, dry weight, and spectrum reflectance were measured for paddy pots in greenhouse cultivation. These results led to a series of relationship among these parameters. Finally, the relationship between
    NDVI
    and leaf area index was obtained. Using these regression curves for
    NDVI
    , the temporal and spatial distributions of LAI of paddy fields in the watershed could be estimated.
  • 石原 光則, 田村 正行
    日本リモートセンシング学会誌
    2004年 24 巻 3 号 255-266
    発行日: 2003/09/03
    公開日: 2009/05/22
    ジャーナル フリー
    本研究では,NPP算出に関して重要なパラメータである
    NDVI
    データの雲等による欠損値を推定するために,気象条件を用いた
    NDVI
    推定モデルを開発することを目的として検討を行った。始めに,
    NDVI
    ともっとも相関が高い気象条件を特定した。その結果,日本において
    NDVI
    にもっとも影響を与えている気象条件は,平均気温の積算値であることが確認できた。
    この結果から,積算平均気温を用いた
    NDVI
    推定モデルを,ロジスティック回帰モデルと二重指数回帰モデルを用いて構築したところ,二重指数回帰モデルの方が精度良く
    NDVI
    の季節変化を推定できることが確認できた。モデルの検証のため,
    NDVI
    値の観測値と推定値の年間のRMSEを算出した結果,85の観測場所の平均で,RMSEは0.0589であり,個々の観測場所ごとの
    NDVI
    推定モデルは実用上十分な精度の推定が可能であることが示された。
    今後の課題としては,
    NDVI
    の推定モデルを一般化するために,本研究で得られた知見をもとに,日本全土を
    NDVI
    の変化パターンにより分類し,その類型ごとに
    NDVI
    推定モデルを構築することが考えられる。
  • 申 士徹, 多田 毅, 風間 聡, 沢本 正樹
    水工学論文集
    1994年 38 巻 161-166
    発行日: 1994/02/28
    公開日: 2010/08/25
    ジャーナル フリー
    NOAA-AVHRR data is used to obtain spatial distribution of evapotranspiration for 5 basins, about 69% of total area of Korea. Amounts of evapotranspiration of these basins are estimated by the Penman method, and
    NDVI
    (Normalized Difference Vegetation Index) calculated from NOAA-AVHRR data is utilized to estimate its spatial distribution. Because the
    NDVI
    value indicates the activity of vegetations and the
    NDVI
    histogram reflects the variation of evapotranspiration, its spatial distribution can be estimated using
    NDVI
    . This method will make possible to estimate that of North Korea where meteorological data are unavailable. Keywords: NOAA-AVHRR,
    NDVI
    , evapotranspiration, spatial distribution
  • Hiroyuki Iwasaki
    SOLA
    2006年 2 巻 168-171
    発行日: 2006年
    公開日: 2006/12/12
    ジャーナル フリー
    電子付録
    The influence of rainfall distribution on
    NDVI
    (Normalized Difference Vegetation Index) anomaly was qualitatively investigated over the arid region in Mongolia using Ulaanbaator Airport radar data from 2003 to 2005. As for the steppe vegetation zone where annual rainfall amount was 100-200 mm, when considerable (little) rainfall was observed in June to July, a positive (negative)
    NDVI
    anomaly occurred in July to August and the timing that
    NDVI
    reached the maximum was 20-40 days earlier (later) than the 8-year mean. Furthermore, the southern limit of the large rainfall area observed by weather radar corresponded well to the southernmost limit of the positive
    NDVI
    anomaly. However, these features were not apparent over the forest steppe vegetation zone where annual rainfall amount was more than 200 mm. It was found that the rainfall distribution obtained by weather radar had a potential for the prediction of the
    NDVI
    anomaly and the timing that
    NDVI
    reached the maximum over the arid region of Mongolia.
  • 池亀 泰央, 沖 一雄, 大政 謙次
    Eco-Engineering
    2003年 15 巻 4 号 163-172
    発行日: 2003年
    公開日: 2006/07/13
    ジャーナル フリー
    Snow affects positively to water resources by adding itself when melted. On the other hand, it has negative effects to agriculture and forestry, and causes disasters such as the avalanche. Whatsoever, it is an important factor of the ecosystem and climate. Especially, when it comes to the alpine vegetation in Japan, which is a smaller but important percentage of natural vegetation, snow is deeply related to the ecosystem of the same. Therefore, it becomes necessary to monitor the snow condition accurately. The remote sensing technique is an effective tool in order to estimate the snow cover at synoptic scale. In this paper, a method for estimating the snow cover in Japan is proposed using 10 days
    NDVI
    composite images and AMeDAS data set. It is found that the proposed method could effectively estimate snow cover in Japan. The estimation by the proposed method is based on the consideration of existing land cover types. Furthermore, map of areas where snow has completely melted is also developed from the proposed method.
  • 朴 鍾杰, 建石 隆太郎, 布広 永示
    写真測量とリモートセンシング
    2010年 49 巻 6 号 387-399
    発行日: 2011/01/07
    公開日: 2012/01/01
    ジャーナル フリー
    The goal of this study is to use
    NDVI
    and LST (land surface temperature) time series NOAA/AVHRR data to estimate global tendencies in land cover changes from 1982 to 1999. As a preprocessing step, Temporal Window Operation-correction (TWO Method) was performed to reduce the effects of clouds. The mean (AVG_
    NDVI
    and AVG_LST) and standard deviation (STD_
    NDVI
    and STD_LST) values were calculated for each
    NDVI
    and LST data over the 18 period. The results showed that
    NDVI
    varied according to rate of vegetation coverage ; and LST varied by latitude, altitude and whether or not the area was vegetated. In order to identify any abnormal trends, AVG_
    NDVI
    and STD_
    NDVI
    were used to calculate the monthly deviation. These calculations revealed that Africa suffered a period of drought from July 1984 to January 1985. In addition, in order to reveal changes in land cover by season, profile matching, taking into consideration phonological shifts, was implemented, and the difference between these results and average (DIF_
    NDVI
    and DIF_LST) values were determined. The results of these comparisons allowed identification of regional changes in
    NDVI
    under the influence of abnormal weather patterns. Furthermore, the gradient was extracted for 18 years of
    NDVI
    and LST data, using the linear regression analysis from DIF_
    NDVI
    and DIF_LST. The two gradient values plotted for
    NDVI
    and LST gradient indicated several important trends, such as an increase in
    NDVI
    in many grassland areas, including farmland ; and a increase in LST in desert areas.
  • ――ミャンマー・バゴー山地におけるカレン焼畑の事例――
    鈴木 玲治, 竹田 晋也, フラマウンテイン
    東南アジア研究
    2007年 45 巻 3 号 343-358
    発行日: 2007/12/31
    公開日: 2017/10/31
    ジャーナル フリー
    In the Karen area of Myanmar, where the Karen have practiced traditional shifting cultivation since colonial times, we tried to reconstruct a land use history of their shifting cultivation practices using a combination of field observations, global positioning system (GPS) mapping, and interviews conducted during 2002-2006, as well as analyses of JERS and LANDSAT satellite images taken in 1989-2001. The vegetation recovery process during the fallow period was also analyzed using a supervised classification of high-resolution Quickbird satellite images taken in 2005. The satellite image analysis suggested that 65-75% of the shifting cultivation fields could be extracted from JERS images taken between November and January by using the normalized difference vegetation index (
    NDVI
    ) as an indicator. The overlap of shifting cultivation fields from 1989 to 2006 showed that the fallow period of most shifting cultivation in this area exceeded 9-12 years. According to the vegetation recovery analysis, most fallow land was covered with bamboo within 5 years after the harvest, and that fallow land was reopened when a few tree species started to grow in the bamboo-dominated forests. Vegetation analysis showed that around 90% of the shifting cultivation fields were opened by slashing and burning bamboo-dominated forests in 2006, although more tree-dominated forests with a longer fallow period could have been opened. These results showed that the recovery of bamboo-dominated forests is a key factor in maintaining the practice of shifting cultivation in this area.
  • Baolin SU, So KAZAMA, Masaki SAWAMOTO
    水工学論文集
    2002年 46 巻 301-306
    発行日: 2002/02/10
    公開日: 2010/06/04
    ジャーナル フリー
    The TM-based Normalized Difference Vegetation Index (
    NDVI
    ) data set for each month of a year was made in the Kamafusa Lake catchment by using of 11 Landsat Thematic Mapper imagery and one image-based atmospheric correction algorithm-COST method. It showed more precise variation compared with the present NOAA/AVHRR-based 1-km
    NDVI
    data set, and is practically possible to detect the vegetation cover changes in small basin area by using of high resolution TM data. The attempts to apply this data set in analysis of vegetation cover changes and their effects on suspended solids of stream water were conducted. It showed that SS concentration was correlated with the vegetation cover changes to some extent. The study also showed that two different mechanisms, i.e., snowmelt process and rainfall-runoff process, should be considered for different season when incorporating the
    NDVI
    values to analyze the stream water quality variation
  • 小林 利行, 建石 隆太郎
    日本リモートセンシング学会誌
    2007年 27 巻 3 号 216-227
    発行日: 2007/06/25
    公開日: 2008/12/02
    ジャーナル フリー
    A lot of studies of global land cover map have been produced so far. However, there are only a few global maps representing the place and the time that large changes occurred. In this study, there were produced those areas where land cover changes may have taken place during the period between 1982 and 2000. These areas were extracted on the basis of
    NDVI
    temporal profiles derived from the NOAA-AVHRR data. Furthermore the difference in results by two types of
    NDVI
    data set was examined.
    The method of producing these maps is as follows. Possible land cover change areas were extracted from the change of the annual mean of
    NDVI
    , the difference between its annual maximum and minimum values and its annual pattern. Years of land cover change were determined by large
    NDVI
    change during a certain year. In the mapping process potential land cover change was detected in the case that the
    NDVI
    value didn't recover to the previous level after it had changed. The
    NDVI
    change which was affected by the weather change or geometric misregistration was excluded from land cover change. As a result, a possible land cover change map was produced which shows large vegetation change such as the transformation of the desert to cropland, the deforestation for cropland or disappearing of wetland.
  • B. Nandintsetseg, M. Shinoda, R. Kimura, Y. Ibaraki
    SOLA
    2010年 6 巻 29-32
    発行日: 2010年
    公開日: 2010/03/11
    ジャーナル フリー
    電子付録
    Drought has become widespread throughout the Northern Hemisphere since the mid-1950s, affecting the Mongolian steppe and pastureland used for livestock. Given this background, we investigated the relationship between modeled root-zone soil moisture (Wm) and vegetation activity based on Normalized Difference Vegetation Index (
    NDVI
    ) data for the Mongolian steppe during the period 1982-2005. In general, interannual change in
    NDVI
    coincided with that in Wm.
    NDVI
    showed a stronger correlation with Wm (r = 0.91) than with precipitation (P) (r = 0.65). A strong positive correlation was found between seasonal changes in
    NDVI
    and above-ground biomass (r = 0.94).
    A comparison between years with high and low NDVImax revealed that the significant difference in P led to a significant time-lagged (about a half month) difference in Wm and finally to that in
    NDVI
    with time lags of about one month. In addition, NDVImax value of a given year was correlated with the Wm value for the current year (r2 = 0.53), and was more strongly correlated with the combination of the current year Wm and the preceding year NDVImax of (r2 = 0.55). This result suggests that on the interannual basis, the vegetation activity is primarily controlled by the current year soil moisture and slightly affected by underground structures stored in the root system.
  • 多田 毅, 風間 聡, 沢本 正樹
    水工学論文集
    1994年 38 巻 155-160
    発行日: 1994/02/28
    公開日: 2010/08/25
    ジャーナル フリー
    The purpose of this paper is to develop a model for estimating the distribution of evapotranspiration over a wide area covered by forest Vegetation index closely relates to evapotranspiration. Therefore the distribution of
    NDVI
    (Normalized Differences Vegetation Index) calculated from NOAA-AVHRR data is compared with the total evapotranspiration evaluated by the conventional method (Thornthwaite method). Correlation between evapotranspiration and
    NDVI
    is derived from multiple regression analysis in three basins. It is confirmed that evapotranspiration in a forest is propotional to
    NDVI
    . The distribution of evapotranspiration in the basin can be estimated from the correlation.
  • 浅沼 亜希菜, 豊田 裕道, 島田 沢彦, 浅沼 市男
    写真測量とリモートセンシング
    2011年 50 巻 1 号 34-39
    発行日: 2011/03/11
    公開日: 2012/03/01
    ジャーナル フリー
    本研究では,稲作圃場における正規化植生指数(
    NDVI
    )と葉緑素計値(以下,SPAD値)の計測値が,稲の生長に対して異なる応答を示したことから,両者の特性を組み合わせた新しい指数を提案し,米粒タンパク質含有率の推定の可能性を検討した。
    福島県喜多方市加納熱塩地域の水稲コシヒカリの減農薬・有機栽培の圃場を研究対象とし,分光放射計を用いて計測した値から
    NDVI
    を求めるとともに,葉緑素計(SPAD-502)を用いてSPAD値を測定し,
    NDVI
    とSPAD値の時間変化を追跡した。また,米粒タンパク質含有率は,近赤外透過連続波長方式の米粒食味計を用いて測定した。
    NDVI
    とSPAD値の時間変化から,出穂期から登熟期までの2変数の変化量を指数化した
    NDVI
    ・SPAD値変動指数(Variation index between
    NDVI
    and Chlorophyll content(VNC index))を求めた。ここで提案したVNC指数と米粒タンパク質含有率と相関性を検討したところ,両者の間に正の相関が認められた。
    本研究により,出穂期から稲の葉の状態をモニターしながら,
    NDVI
    とSPAD値の特性を合わせた米粒タンパク質含有率の推定の可能性が示された。
  • 小柳 智和, 本岡 毅, 西田 顕郎, 眞板 秀二
    日本リモートセンシング学会誌
    2008年 28 巻 1 号 36-43
    発行日: 2008/01/31
    公開日: 2008/11/28
    ジャーナル フリー
    In recent years, distribution of forests is changing in many countries due to desertification and planting. Satellite remote sensing provides detailed distribution of the vegetation changes. In particular, the new satellite sensors, such as MODIS and SPOT-Vegetation, have provided more accurate data than old sensors such as NOAA-AVHRR for such purpose. In this research, we analyzed vegetation changes from year 2000 to 2005 in eastern Asia with data taken by SPOT-Vegetation and Terra-MODIS. In order to remove cloud contaminations, we applied annual MVC (maximum value composite) to time series in
    NDVI
    (Normalized Difference Vegetation Index) taken by each sensor. The annual MVC made it easy to see inter-annual variability because it is hardly influenced by seasonality of vegetation. Then we calculated the linear trend of inter-annual
    NDVI
    at each pixel. We applied these procedure to each sensor's
    NDVI
    data independently for the sake of cross-validation. As a result, both sensors consistently showed increase of
    NDVI
    in north-eastern to central China, whereas decrease in eastern Mongolia. By extracting the trends of
    NDVI
    with statistical significance of p=0.05 for both sensor's data, we estimated that
    NDVI
    increased in an area of 177,000km2, whereas decreased in an area of 63,000km2. Most of the increase happened in China. This estimation was consistent with FRA2005 (Global Forest Research Assessment 2005), in which Chinese forest reportedly increased in more than 200,000km2 from 2000 to 2005.
  • Tao Tonglaga, Yo Shimizu, Kenji Omasa
    Eco-Engineering
    2015年 27 巻 4 号 111-116
    発行日: 2015/10/31
    公開日: 2016/01/07
    ジャーナル フリー
    The differences in the improved Temperature Vegetation Dryness Index (iTVDI) and the Normalized Difference Vegetation Index (
    NDVI
    ) between eleven land cover types in northwestern part of the Kanto region of Japan were analyzed using Landsat5 TM data and a vegetation map. The results showed that there were significant differences in iTVDI and
    NDVI
    values among the land cover types. The
    NDVI
    values were highest in the forest regions including evergreen forest, deciduous forest and mixed forest, while the iTVDI values were relatively lower in comparison to other land cover types, except for water. The iTVDI values of the grassland, cropland and orchard were higher while their
    NDVI
    values were not very low. And the iTVDI value of the paddy field was much higher than that of the water. In order to identify the reason, these land cover types were further classified into two classes respectively, the paddy field was classified into water-covered and not water-covered, and the other land cover types were classified into the full-covered and partialcovered. Consequently, the iTVDI values of the water-covered region of the paddy field and the well-vegetated region of the other three types were reduced. These results suggest that different land cover types cause the differences of iTVDI values and
    NDVI
    values due to the different fraction of vegetation cover and transpiration rates.
  • Heon-Sook Kim, Kenji Kai
    SOLA
    2007年 3 巻 69-72
    発行日: 2007年
    公開日: 2007/06/28
    ジャーナル フリー
    電子付録
    Analysis of a recent 6-year period (2000-2005) revealed a high frequency of dust outbreaks in the Tarim Basin in 2001 and 2002 and a strong positive correlation between dust outbreaks and strong surface winds; however, this trend was not observed in 2003, when a low frequency of dust outbreaks was recorded despite frequent strong surface winds. The threshold wind speed for 2003 was higher than that for 2002, which had a high frequency of dust outbreaks and a high index of dust storms. The
    NDVI
    between 2002 and 2003 was analyzed as a proxy for land surface characteristics. Variations in soil wetness were clearly observed for April and May, and the soil wetness for 2003 was higher than that for 2002. These findings suggest that a wet land surface in 2003 caused an increase in the threshold wind speed.
  • 美濃 憲, 風間 聡, 沢本 正樹
    環境システム研究
    1993年 21 巻 40-45
    発行日: 1993/08/19
    公開日: 2010/03/17
    ジャーナル フリー
    Recently the problems for ecological environment has become serious. Especially, monitoring of quantity and distribution of vegetation is important. Satellite remote sensing data is useful in this field. Analysing satellite data, influence by meteorological condition and human activity on ecological environment can be assessed. In this study, the Normalized Difference Vegetation Index (
    NDVI
    ) derived from NOAA AVHRR data is used for monitoring vegetation. The time integral of
    NDVI
    (iNDVI) is also calculated to estimate of vegetation, i.e. the amount of CO2 with photosynthesis, and water resources storage.
    Firstly, the difference of reflectance between vegetation and sand are confirmed. Secondly annual variation and range of
    NDVI
    evaluated for four kinds of land use category; urban area, paddy area, forest and coastal zone. Lastly, the characteristics of iNDVI were studied for each land use categories. From these results, applicability of
    NDVI
    and iNDVI to environmental assessment is discussed.
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