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Generating soil salinity, soil moisture, soil pH from satellite imagery and its analysis

Information Processing in Agriculture 2020年第2期7卷 294-306页

作者： Mochamad Firman Ghazali Ketut Wikantika Agung Budi Harto akihiko kondoh Center for Remote Sensing Bandung Institute of Technology(CRS-ITB)BandungIndonesia Remote Sensing and GIS Research Group Faculty of Earth Science and TechnologyBandung Institute of TechnologyBandungIndonesia ForMIND Institute Indonesia Center for Environmental Remote Sensing(CeRES) Chiba UniversityJapan Department of Geodesy and Geomatics Engineering Faculty of EngineeringUniversity of LampungIndonesia

In an agricultural field,the water content and salt content are defined as soil moisture and soil salinity and have to be estimated *** changing of these two factors can be assessed using remote sensing *** study was conducted by analysing the Landsat 8 satellite images,soil data of field surveys,laboratory analyses and statistical *** properties such as soil moisture and soil salinity were estimated using soil moisture index(SMI)and soil salinity index(SSI),*** research combined and integrated the soil data from survey and laboratory with Landsat 8 satellite images to build two multiple regression equations model named the soil pH Index(SpHI).They are based on bare soil and paddy leaf models as the explanatory factors of soil moisture and soil salinity *** the computation processes were replicated three times using three different dates of Landsat 8 satellite images to produce the multi-temporal *** moisture increased after 30 days,while the salt content was only trace *** proposed models detected 4.49–7.59 of soil pH,4.66 in bare soil model and 6.62 in paddy leaf *** the planting period,the soil pH in bare soil model decreased to 2.12–6.47 while the paddy leaf model increased to 4.49–7.59 with RMSE 1.40 and PRMSE 24%of *** spatial relationship between soil pH,soil salinity and soil moisture are linear but varied in correlation level from weak,moderate to *** on the bare soil model,the relationship between soil pH and soil moisture shows a weak negative relationship with R28.37%and a strong positive relationship with R281.94%in paddy area and bare soil area respectively,as like as in paddy area based on the paddy leaf model with R2100%.The relationship between soil temperature and soil pH shows a weak negative relationship for all models and a moderate negative relationship of soil salinity and soil pH in bare soil area based on the bare soil model with R234.89%.

关键词： Landsat 8 Soil moisture index Soil salinity index Soil pH Paddy leaf model Bare soil model

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Modeling three-dimensional forest structures to drive canopy radiative transfer simulations of bidirectional reflectance factor

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International Journal of Digital Earth 2018年第10期11卷 981-1000页

作者： Wei Yang Hideki Kobayashi Xuehong Chen Kenlo Nishida Nasahara Rikie Suzuki akihiko kondoh Center for Environmental Remote Sensing Chiba UniversityChibaJapan Department of Environmental Geochemical Cycle Research Japan Agency for Marine-Earth Science and TechnologyYokohamaJapan State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijingPeople’s Republic of China Faculty of Life and Environmental Sciences University of TsukubaTsukubaJapan

Three-dimensional(3-D)Monte Carlo-based radiative transfer(MCRT)models are usually used for benchmarking in intercomparisons of the canopy radiative transfer(RT)***,the 3-D MCRT models are rarely applied to develop remote sensing algorithms to estimate essential climate variables of forests,due mainly to the difficulties in obtaining realistic stand structures for different forest biomes over regional to global ***,some of important tree structure parameters such as canopy height and tree density distribution have been available *** enables to run the intermediate complexities of the 3-D MCRT *** consequently developed a statistical approach to generate forest structures with intermediate complexities depending on the inputs of canopy height and tree *** aims at facilitating applications of the 3-D MCRT models to develop remote sensing retrieval *** proposed approach was evaluated using field measurements of two boreal forest stands at Estonia and USA,*** demonstrated that the simulations of bidirectional reflectance factor(BRF)based on the measured forest structures agreed well with the BRF based on the generated structures from the proposed approach with the root mean square error(RMSE)and relative RMSE(rRMSE)ranging from 0.002 to 0.006 and from 0.7%to 19.8%,*** of the computed BRF with corresponding MODIS reflectance data yielded RMSE and rRMSE lower than 0.03 and 20%,*** the results from the current study are limited in two boreal forest stands,our approach has the potential to generate stand structures for different forest biomes.

关键词： Bidirectional reflectance factor remote sensing forest structure radiative transfer model

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Toward Circumventing Collinearity Effect in Nonlinear Spectral Mixture Analysis by Using a Spectral Shape Measure

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Advances in Remote Sensing 2016年第3期5卷 183-191页

作者： Wei Yang akihiko kondoh Center for Environmental Remote Sensing Chiba University Chiba Japan

Nonlinear spectral mixture analysis (NSMA) is a widely used unmixing algorithm. It can fit the mixed spectra adequately, but collinearity effect among true and virtual endmembers will decrease the retrieval accuracies of endmember fractions. Use of linear spectral mixture analysis (LSMA) can effectively reduce the degree of collinearity in the NSMA. However, the inadequate modeling of mixed spectra in the LSMA will also yield retrieval errors, especially for the cases where the multiple scattering is not ignorable. In this study, a generalized spectral unmixing scheme based on a spectral shape measure, i.e. spectral information divergence (SID), was applied to overcome the limitations of the conventional NSMA and LSMA. Two simulation experiments were undertaken to test the performances of the SID, LSMA and NSMA in the mixture cases of treesoil, tree-concrete and tree-grass. Results demonstrated that the SID yielded higher accuracies than the LSMA for almost all the mixture cases in this study. On the other hand, performances of the SID method were comparable with the NSMA for the tree-soil and tree-grass mixture cases, but significantly better than the NSMA for the tree-concrete mixture case. All the results indicate that the SID method is fairly effective to circumvent collinearity effect within the NSMA, and compensate the inadequate modeling of mixed spectra within the LSMA.

关键词： Nonlinear Spectral Mixture Analysis Linear Spectral Mixture Analysis Collinearity Spectral Information Divergence (SID)

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Change of winter wheat planting area and its impacts on groundwater depletion in the North China Plain

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Journal of Geographical Sciences 2019年第6期29卷 891-908页

作者： WU Xifang QI Yongqing SHEN Yanjun YANG Wei ZHANG Yucui kondoh akihiko Graduate School of Science and Engineering Chiba University Key Laboratory of Agricultural Water Resources Hebei Key Laboratory of Water-Saving AgricultureCenter for Agricultural Resources ResearchInstitute of Genetics and Developmental BiologyCAS Center for Environmental Remote Sensing Chiba University

The North China Plain is one of the most water-stressed areas in China. Irrigation of winter wheat mainly utilizes groundwater resources, which has resulted in severe environmental problems. Accurate estimation of crop water consumption and net irrigation water consumption is crucial to guarantee the management of agricultural water resources. An actual crop evapotranspiration(ET) estimation model was proposed, by combining FAO Penman-Monteith method with remote sensing data. The planting area of winter wheat has a significant impact on water consumption; therefore, the planting area was also retrieved. The estimated ET showed good agreement with field-observed ET at four stations. The average relative bias and root mean square error(RMSE) for ET estimation were –2.2% and 25.5 mm, respectively. The results showed the planting area and water consumption of winter wheat had a decreasing trend in the Northern Hebei Plain(N-HBP) and Southern Hebei Plain(S-HBP). Moreover, in these two regions, there was a significant negative correlation between accumulated net irrigation water consumption and groundwater table. The total net irrigation water consumption in the N-HBP and S-HBP accounted for 12.9×10~9 m^3 and 31.9×10~9 m^3 during 2001–2016, respectively. Before and after 2001, the decline rate of groundwater table had a decreasing trend, as did the planting area of winter wheat in the N-HBP and S-HBP. The decrease of winter wheat planting area alleviated the decline of groundwater table in these two regions while the total net irrigation water consumption was both up to 28.5×10~9 m^3 during 2001–2016 in the Northwestern Shandong Plain(NW-SDP) and Northern Henan Plain(N-HNP). In these two regions, there was no significant correlation between accumulated net irrigation water consumption and groundwater table. The Yellow River was able to supply irrigation and the groundwater table had no significant declining trend.

关键词： North China Plain planting area winter wheat remote sensing net irrigation water consumption

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Risk Assessment of Land Subsidence in Kathmandu Valley, Nepal, Using Remote Sensing and GIS

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Advances in Remote Sensing 2017年第2期6卷 132-146页

作者： Richa Bhattarai akihiko kondoh Graduate School of Science Chiba University Chiba Japan

Land subsidence is identified as a global problem and intensive studies are being conducted worldwide to detect and monitor risk of this problem. Risk assessment of land subsidence is simply an evaluation of the probability and frequency of occurrence of land subsidence, exposure of people and property to the subsidence and consequence of that exposure. Remote sensing technology was used to extract information of land subsidence in Kathmandu Valley, Nepal. Also, Disaster Risk Index method and Analytic Hierarchy Process (AHP) along with Geographic Information System (GIS) tools were used to assess risk of land subsidence in Kathmandu Valley, Nepal. Subsidence volume for locations Central Kathmandu, Chauni, Lalitpur, Imadol, Thimi, Madhyaour Thimi, New Baneshwor, Koteshwor and Gothatar was calculated using a simple mathematical formula. The subsidence depth for these locations was found to be in a range of 1 cm to 17 cm and the maximum subsidence velocity was found to be 4.8 cm/yr. This study revealed that the location where maximum subsidence was observed (i.e. Central Kathmandu and Lalitpur) was found to be at high risk of experiencing land subsidence induced damage. Other location where subsidence was observed was found to be at medium risk and the rest of the Kathmandu valley was found to be at low risk with current data situation. This study can be considered as the first step towards other comprehensive study relating to land subsidence risk assessment. The outcome of this research provides a basic understanding of the current situation that can further assist in developing prevention and risk management techniques.

关键词： Risk Assessment of Land Subsidence Hazard Vulnerability Analytic Hierarchy Process GIS

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Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques to Select Optimum Solid Waste Disposal Sites within Mafraq City, Jordan

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Journal of Geographic Information System 2011年第4期3卷 267-278页

作者： Ahmad Al-Hanbali Bayan Alsaaideh akihiko kondoh 不详

Landfill siting was determined within Mafraq City, Jordan, through the integration of geographic information system (GIS), weighted linear combination (WLC) analysis, and remote sensing techniques. Several parameters were collected from various sources in vector and raster GIS formats, and then, used within the GIS-based WLC analysis to select optimum solid waste disposal sites. Namely, urban areas, agricultural lands, access roads, surface aquifers, groundwater table, fault system, water wells, streams, and land slope were considered in this research. Also, the trend of urban expansion within the study area was monitored using the Landsat data of 1989, 1999, and 2009 to support the selection process of disposal sites. It is found that about 84% of the study area was within “most suitable” to “moderately suitable” classes for landfill sites, while the rest of the study area was within “poorly suitable” and “unsuitable” classes. Based on the analysis of Landsat satellite data the urban area was expanded of more than 240% during the last three decades, mainly toward south, and southwest, except the villages near the existing disposal site, where the trend was toward east and northeast. Finally, three sites were suggested as alternatives to the existing disposal site taking into the consideration the environmental, biophysical, and economical variables applied in the GIS-based WLC analysis.

关键词： Solid Waste Weighted Linear Combination GIS Remote Sensing Jordan

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Quantitative Evaluation of Bitterlich Sampling for Estimating Basal Area in Sparse Boreal Forests and Dense Tropical Forests

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Open Journal of Forestry 2017年第2期7卷 143-156页

作者： Wei Yang Hideki Kobayashi Kenlo Nishida Nasahara Rikie Suzuki akihiko kondoh Center for Environmental Remote Sensing Chiba University Chiba Japan Department of Environmental Geochemical Cycle Research Japan Agency for Marine-Earth Science and Technology Yokohama Japan Faculty of Life and Environmental Sciences University of Tsukuba Tsukuba Japan

Bitterlich sampling is an extensively used technique in worldwide forest inventories. Although it has been proved that estimates of basal area from Bitterlich sampling are mathematically unbiased, its precision for individual forest stands may be fairly poor. An extension of validation efforts to different forest biomes could therefore provide more comprehensive assessment and understanding of the Bitterlich sampling technique. In this study, this technique was quantitatively evaluated by using simulated sparse boreal forests and dense tropical forests from an empirical forest structure model (EFSM). Theoretical estimation of basal areas and practical estimation influenced by the hidden-tree effect were both compared with true basal areas of the simulated forests. The evaluation results indicated that: 1) Bitterlich sampling can yield acceptable accuracy and precision when the count number (CN) of trees was set to 10 for the studied boreal and tropical forests with distinct characteristics, 2) the theoretical estimation of basal area can be improved by increasing the CN values for both forests, and 3) when the hidden-tree effect is encountered, the accuracy for tropical forests will be decreased by increasing the CN values, whereas the accuracy for boreal forests can still be improved. Accordingly, a relatively high CN, at a reasonable cost, is recommended for sparse boreal forests to improve the accuracy of basal area estimation. In contrast, for dense tropical forests, a CN of ten is appropriate to mitigate the hidden-tree effect.

关键词： Angle-Count Sampling Basal Area Forest Structure Modeling Boreal Forests Tropical Forests

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基于表观热惯量的土壤水分监测

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中国生态农业学报 2011年第5期19卷 1157-1161页

作者：杨树聪沈彦俊郭英近藤昭彦中国科学院遗传与发育生物学研究所农业资源研究中心石家庄050022 中国科学院研究生院北京100049 日本千叶大学环境遥感研究中心千叶263-8522

土壤水分含量是监测农业干旱的重要指标,遥感法是大面积监测土壤水分时空特征的主要方法,热惯量法是遥感方法监测土壤水分的主要研究手段之一。本文提出了一个改进的表观热惯量模型计算表观热惯量,并通过地面验证试验对该模型的适用性... 详细信息

土壤水分含量是监测农业干旱的重要指标,遥感法是大面积监测土壤水分时空特征的主要方法,热惯量法是遥感方法监测土壤水分的主要研究手段之一。本文提出了一个改进的表观热惯量模型计算表观热惯量,并通过地面验证试验对该模型的适用性进行了分析。在中国科学院栾城农业生态系统试验站,通过严格的控制试验,设计了10个不同植被覆盖、不同土壤水分含量的试验小区,针对表观热惯量的适用条件,利用实测的地表温度、植被指数、反照率、太阳辐射等参数计算了不同植被覆盖不同土壤水分含量下的表观热惯量,并与土壤体积含水量进行了相关和回归分析。结果表明:在植被覆盖度较低情况下[归一化植被指数(normalized difference vegetation index,NDVI)0.35),表观热惯量与土壤体积含水量之间没有相关性,热惯量法监测土壤水分失效;NDVI为0.35可以作为热惯量法监测土壤水分状况是否可行的判断条件。

关键词：表观热惯量土壤水分冬小麦归一化植被指数地表温度反照率净辐射

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陆面蒸散的双源遥感模型及其在华北平原的应用

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水科学进展 2006年第3期17卷 371-375页

作者：沈彦俊夏军张永强肖捷颖唐常源近藤昭彦东京大学生产技术研究所中国科学院地理科学与资源研究所北京100101 千叶大学自然科学研究科

建立了一个计算陆面蒸散的双源遥感模型,利用多光谱和热红外遥感数据估算地表土壤缺水状况,并计算蒸散通量。本模型利用2000-2002年的13期Landsat TM和ETM+遥感数据计算了栾城地区1 000 km2范围的蒸散通量。通过与地面同步微气象观测值... 详细信息

建立了一个计算陆面蒸散的双源遥感模型,利用多光谱和热红外遥感数据估算地表土壤缺水状况,并计算蒸散通量。本模型利用2000-2002年的13期Landsat TM和ETM+遥感数据计算了栾城地区1 000 km2范围的蒸散通量。通过与地面同步微气象观测值的对比,显示利用笔者建立的双源蒸散模型和简化的植被指数-地表温度梯形法确定土壤水分状况,在华北平原能够获得比较满意的计算结果。

关键词：遥感模型土壤水分亏缺指数陆面蒸散 TM 华北平原

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博河流域气候变化及其与径流量的关系研究

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资源科学 2014年第10期36卷 2123-2130页

作者：迪丽努尔.阿吉近藤昭彦肖開提.阿吉古丽吉米丽.艾尼曼孜然.吐尔逊新疆师范大学地理科学与旅游学院乌鲁木齐830054 新疆干旱区湖泊环境与资源重点实验室乌鲁木齐830054 日本千叶大学环境遥感中心新疆吐鲁番地震局吐鲁番834000

利用博尔塔拉河流域内(简称博河)4个气象代表站1960-2010年气温和降水量资料以及2个代表水文站1980-2010年径流量观测资料,进行了气候、径流量的趋势分析及突变检验,并探讨其相关关系和影响效应。结果表明:1博河流域年平均气温和年降水... 详细信息

利用博尔塔拉河流域内(简称博河)4个气象代表站1960-2010年气温和降水量资料以及2个代表水文站1980-2010年径流量观测资料,进行了气候、径流量的趋势分析及突变检验,并探讨其相关关系和影响效应。结果表明:1博河流域年平均气温和年降水量呈现增加趋势,其中冬季气温上升对流域气温变化的贡献率最大;2博河年平均径流量呈波动中增加态势,并在1997-1998年发生一次由偏低期转为偏高期的突变;3流域气候变化与博河径流量的关系研究表明,其上游河源区气温与径流量的相关性比下游的大。就降水量而言,下游降水量与径流量的相关性比上游更为显著;4多元回归分析显示,当降水不变,温度每升高1℃时,博河径流量增加4.1%,而当温度不变,降水量每增加10%时,径流量增加4.6%,说明径流量对流域降水量及其气温变化的响应较为显著。

关键词：博河流域气温降水径流量突变检测

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