Detection of rice sheath blight for in-season disease management using multispectral remote sensing

Timely diagnosis of crop diseases in fields is critical for precision on-farm disease management. Remote sensing technology can be used as an effective and inexpensive method to identify diseased plants in a field scale. However, due to the diversity of crops and their associated diseases, application of the technology to agriculture is still in research stage, which needs to be elaborately investigated for algorithm development and standard image processing procedures. In this paper, we examined the applicability of broadband high spatial-resolution ADAR (Airborne Data Acquisition and Registration) remote sensing data to detect rice sheath blight and developed an approach to further explore the applicability. Based on the field symptom measurements, a comprehensive field disease index (DI) was constructed to measure infection severity of the disease and to relate to image sampled infections. In addition to direct band digital number (DN) values, band ratio indices and standard difference indices were used to examine possible correlations between field and image data. The results indicated that the broadband remote sensing imagery has the capability to detect the disease. Some image indices such as RI₁₄, SDI₁₄ and SDI₂₄ worked better than others. A correlation coefficient above 0.62 indicated that these indices would be valuable to use for identification of the rice disease. In the validation analysis, we obtained a small root mean square error (RMS = 9.1), confirming the applicability of the developed method. Although the results were encouraging, it was difficult to discriminate healthy plants from light infection ones when DI < 20 because of their spectral similarities. Hence, it was clear that identification accuracy increases when infection reaches medium-to-severe levels (DI > 35). This phenomenon illustrated that remote sensing images with higher spectral resolution (more bands and narrower bandwidth) were required in order to further examine the capability of separating the light diseased plants from healthy plants.     

非均匀陆面条件下区域蒸散量计算的遥感模型

非均匀陆面条件下的区域蒸散计算是一个复杂的问题。文中首先在利用遥感资料求取地表特征参数 (如植被覆盖度、地表反照率等 )的基础上 ,建立了裸露地表条件下的裸土蒸发和全植被覆盖条件下植被蒸腾计算模型 ,然后结合植被覆盖度 (植被的垂直投影面积与单位面积之比 )给出非均匀陆面条件下的区域蒸散计算方法。实测资料验算表明该模型具有较高的计算精度。文章最后利用该模型对中国北方地区的蒸散量进行了计算 ,并对该研究区蒸散的特点进行了分析     

利用“3S”技术进行北京地区土壤水分监测应用技术研究

该文主要对适合于北京地区的土壤水分卫星遥感监测方法，利用GIS及GPS工具，提高对土壤水分卫星遥感监测结果的分析能力进行了探讨。在分析研究北京地区土壤水分卫星遥感监测模式及适宜使用的下垫面状况和时段的基础上，提出了一批具有一定物理意义和应用价值的遥感模式。利用GIS和GPS技术实现包括遥感信息在内的多种数据的复合，以影像的方式，将地表地理状况与土壤水分卫星遥感监测结果结合起来，实现了RS、GIS及GPS的融合，提高了土壤水分卫星遥感监测的精度。     

Advective, orographic and radiation fog in the Tarapacá region, Chile

A project in northern Chile was undertaken to determine the origin and behaviour of fog in the coastal and inland locations of the Tarapacá Region. In the Pampa del Tamarugal, 50 km from the sea, conditions exist for the formation of radiation fog. Advective fog has been studied on the coast and orographic fog was observed at a few coastal sites near mountain ranges with elevations above 1000 m. Fog water collected by two standard fog collectors (SFC) for 3 1/2 years showed an average flux of 8.5 l m⁻² day⁻¹ on the coast and 1.1 l m⁻² day⁻¹ inland 12 km from the coastline. On only a few days in 10 months was water collected at the inland site of Pampa del Tamarugal. GOES satellite images are shown to illustrate the pattern of formation of the stratocumuli cloud over the sea, its approach to the coastline, the entrance of fog by corridors through the coastal range and the presence of radiation fog inland. The results are important for the understanding of fog formation and dissipation along the coastal mountain range and for the recognition of potential sites for the installation of fog water collectors, which can be used as a water source in the Atacama Desert. The results also provide vital information for use in the preservation of the unique ecosystems of the most arid desert of the world.     

基于GIS的时空复合体-土地利用变化图谱模型研究方法

本文以地学信息图谱理论、地球空间信息认知理论、地球系统科学与地理综合体理论、地理信息系统中的时空复合体模型为依据 ,提出了研究土地利用 /土地覆被变化的基本单元 ,即“图谱单元”,它是记录时空复合信息的基本单元 ,由“相对均质”的地理单元和“相对均质”的时序单元复合而成 ,并提出了研究土地利用 /土地覆被变化图谱的概念模型。     

3S一体化技术支持下的西南地区冬小麦估产——以安宁河谷四县为例

农作物遥感估产已经是广泛应用的技术 ,但由于西南地区复杂的地貌类型以及遥感信息源等因素的限制 ,农作物估产方面的研究起步较晚 ,因而研究山区的农作物遥感估产对西南地区有重要的理论价值和现实意义。安宁河谷为一南北走向的山间盆地 ,是四川省第二大粮食生产基地。本文运用遥感 (RemoteSensing)、地理信息系统 (GIS)和全球定位系统(GPS)———简称 3S ,采取全数字式判读方式提取冬小麦的播种面积 ,进行野外点、线采样 ,并利用数理统计方法 ,建立了该地区的冬小麦估产模型     

基于RS与GIS的干旱区绿洲景观格局变化研究——以金塔绿洲为例

景观生态学是宏观生态研究的一个新领域。景观格局变化研究,是目前景观生态学的研究热点。利用遥感的手段获取试验区1990和2000年景观格局的基础数据,并利用GIS做分析的工具,计算出6个指标值,采用格网化的方法,将研究区域的景观斑块转化成5m×5m的格网,进行空间分析,计算得出了景观斑块的转移矩阵,为景观格局在空间上的变化分析打下基础。分析显示:①多样性、均匀性、优势度3个指标数值上有很大的相关性,只需考虑多样性;②绿洲景观格局的变化与水资源的变化密切相关;③绿洲有沙漠化的威胁;④城镇居民点用地扩展迅速,主要在未利用土地上发展,金塔绿洲内城镇居民区有城市化的趋势;⑤城镇居民点破碎化指标值未能真正体现其景观特性,当不考虑少数几个大的斑块时,能够得到较为理想的结果。     

DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR MANAGING PESTICIDE LOSSES IN AGRICULTURAL WATERSHEDS

1 INTRODUCTION Agricultural use of pesticides has been recognized as one of the important non-point pollution sources in the world, and the pesticide application to agricultural lands has led to large amounts of residues discharged into surface water through runoff (Leonard, 1990). There have been growing concerns about the fate and transport of pesticides in agricultural lands, due to the associated adverse impacts on water environment and human health (Agassi et al., 1995; Ng and Clegg…     

遥感技术在腾冲西南地区地热资源研究预测中的应用

利用TM数据,对滇西腾冲西南地区进行地质构造解译,阐明了该区多地热活动的原因.通过对TM6波段热红外异常信息的提取,经构造解译与地热异常分布区的叠加分析,发现了该区地热富集的规律性,提出了地热田的遥感影像模式.据此,预测出腾冲西南地区62处水热活动Ⅰ级异常区.     

招远市金矿区环境遥感调查研究

以遥感图像为基本数据源,以实地调查数据为样点,建立解译标志,利用遥感和地理信息系统新技术对金矿区地质环境条件进行研究,实现航片与卫片校正、地质环境信息的解译、空间数据库的建立.为恢复矿区自然环境提供准确、详实的资料.