全文获取类型
| 收费全文 | 68篇 |
| 免费 | 2篇 |
| 国内免费 | 6篇 |
专业分类
| 测绘学 | 61篇 |
| 大气科学 | 8篇 |
| 地球物理 | 1篇 |
| 地质学 | 2篇 |
| 海洋学 | 1篇 |
| 综合类 | 1篇 |
| 自然地理 | 2篇 |
出版年
| 2024年 | 1篇 |
| 2022年 | 1篇 |
| 2021年 | 2篇 |
| 2020年 | 2篇 |
| 2019年 | 6篇 |
| 2018年 | 1篇 |
| 2017年 | 3篇 |
| 2016年 | 2篇 |
| 2015年 | 4篇 |
| 2014年 | 3篇 |
| 2013年 | 6篇 |
| 2012年 | 3篇 |
| 2011年 | 4篇 |
| 2009年 | 3篇 |
| 2008年 | 2篇 |
| 2007年 | 3篇 |
| 2006年 | 5篇 |
| 2004年 | 4篇 |
| 2002年 | 3篇 |
| 2001年 | 2篇 |
| 2000年 | 2篇 |
| 1999年 | 1篇 |
| 1998年 | 1篇 |
| 1997年 | 9篇 |
| 1996年 | 2篇 |
| 1989年 | 1篇 |
排序方式： 共有76条查询结果，搜索用时 171 毫秒
41.
"高分一号"配置了4台16m分辨率多光谱宽幅(WFV)相机,组合观测幅宽达到800km。为了将其应用于定量遥感,需要对其进行精确的辐射定标。目前针对高分一号卫星有两种交叉定标方法,都在传统方法的基础上进行了改进。一种是基于影像的交叉定标方法(image-based),另一种是基于辐射传输模型和二向反射分布函数的交叉定标方法(RTM-BRDF)。本文采用这两种方法对高分一号(GF-1)的4个相机进行辐射定标,并对这两种方法进行了对比分析,发现对于WFV2和WFV3这两个近似星下点成像相机,image-based方法可以得到精度较高的辐射定标系数,而对于WFV1和WFV4这两个非星下点成像相机来说,RTM-BRDF方法得到的定标系数精度较高。因此,最终将两种方法结合给出GF-1 4个相机最终的定标系数。 相似文献
42.
目标物的反射特性,无论是在遥感模型还是在遥感反演中都扮演着重要的角色,因此选用正确的自然条件下目标物反射特性的测量方法是遥感定量分析的基础.长期以来在自然条件下(即太阳直射光和天空漫射光同时存在)测量目标物的反射特性时,可以获得BRF(Bidirectional Reflectance Factor)作为目标反射特性的描述,但这样获得的BRF与辐射环境有关.为了消除辐射环境的影响,获得真正能够反映目标物的反射特性的BRDF(Bidirectional Reflectance.Distribution Function),前人提出了一些野外测量的方法.本文在此基础上,利用计算机模拟的辐射度(Radiosity)模型在真实场景基础上模拟BRF值,分析测量方法中存在的系统误差受观测条件影响的大小,比较了测量方法的优劣,提出了野外测量时选择测量方法的基本原则. 相似文献
43.
Clumping index quantifies the level of foliage aggregation, relative to a random distribution, and is a key structural parameter of plant canopies and is widely used in ecological and meteorological models. In this study, the inter- and intra-annual variations in clumping index values, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF product, are investigated at six forest sites, including conifer forests, a mixed deciduous forest and an oak-savanna system. We find that the clumping index displays large seasonal variation, particularly for the deciduous sites, with the magnitude in clumping index values at each site comparable on an intra-annual basis, and the seasonality of clumping index well captured after noise removal. For broadleaved and mixed forest sites, minimum clumping index values are usually found during the season when leaf area index is at its maximum. The magnitude of MODIS clumping index is validated by ground data collected from 17 sites. Validation shows that the MODIS clumping index can explain 75% of variance in measured values (bias = 0.03 and rmse = 0.08), although with a narrower amplitude in variation. This study suggests that the MODIS BRDF product has the potential to produce good seasonal trajectories of clumping index values, but with an improved estimation of background reflectance. 相似文献
44.
45.
本文简要介绍了地物二向性反射的概念及其与地物三维空间结构之间的关系。本文建议在建立高分辨率地物波谱数据库的同时,开展不同类型地物BRDF模型的研究。否则耗资巨大的数据库仍不能有效地应用于结构千变万化的环境遥感。 相似文献
46.
47.
To study the anisotropy of vegetation indices (VIs) and explore its influence on the retrieval accuracy of canopy soil-plant analyzer development (SPAD) value, the bidirectional reflectance distribution function (BRDF) models of soybean and maize are calculated from the multi-angle hyperspectral images acquired by UAV, respectively. According to the reflectance extracted from the BRDF model, the dependences of 16 commonly-used VIs on observation angles are analyzed, and the SPAD values of maize and soybean canopy are predicted by using the 16 VI values at different observation angles and their combinations as input parameters. The results show that the 16 VIs have different sensitivity to angle in the principal plane: green ratio vegetation index (GRVI), ratio vegetation index (RVI), red edge chlorophyll index (CIRE), and modified chlorophyll absorption in reflectance index/optimized soil-adjusted vegetation index (MCARI/OSAVI) are very sensitive to angles, among which MCARI/OSAVI of maize fluctuated the most (138.83 %); in contrast, the green optimal soil adjusted vegetation index (GOSAVI), normalized difference vegetation index (NDVI), and green normalized difference vegetation index (GNDVI) hardly change with the observation angles. In terms of SPAD prediction, the accuracy of different VI is different, the mean absolute error (MAE) showed that MCARI1 provided the highest accuracy of retrieval for soybean (MAE=1.617), while for maize it was MCARI/OSAVI (MAE=2.422). However, when using the same VI, there was no significant difference in the accuracy of the predicted results, whether the VI from different angles was used or the combination of multi-angles was used. The present results provide guiding significance and practical value for the retrieval of SPAD value in vegetation canopies and in-depth applications of multi-angular remote sensing. 相似文献
48.
评估MODIS的BRDF角度指数产品 总被引：1，自引：2，他引：1
应用地表观测的二向性反射数据集和多种MODIS数据产品,通过统计分析,对MODIS的二向性反射角度指数产品进行综合评估,结果表明:(1)MODIS角度指数包含了地表三维结构信息,有望用来反演地表的物理结构参数;(2)MODIS角度指数是内在的三维关系,各向异性因子(Anisotropic Factor:ANIF)和各向异性指数(Anisotropic Index:ANIX)高相关,建议去掉ANIF以精炼MODIS角度指数产品;(3)各向异性平整指数(Anisotropic FlatIndex:AFX)较好地指示了地表基本散射类型的变化,且具有较小的类内方差,对改善特定地表分类精度可能会更有用. 相似文献
49.
《International Journal of Digital Earth》2013,6(6):157-171
The Moderate Resolution Imaging Spectroradiometer (MODIS)-Terra surface reflectance product (MOD09A1), with bands 1 to 7, is a gridded, eight-day composite product derived from the MODIS-Terra top of atmosphere reflectance swaths. It performs cloud detection and corrects for the effects of atmospheric gases and aerosols. The cloud mask (CM) algorithms for MODIS are based on empirical thresholds on spectral reflectance and brightness temperature. Since the spatial resolution of the thermal band is 1000 m, while that of MOD09A1 is 500 m, many undetected and false clouds are observed in MOD09A1. These errors always result in temporal and spatial inconsistencies in higher-level products. In this paper, a cloud detection algorithm (TSCD) based on a MOD09A1 time series is introduced. Time series cloud detection (TSCD) algorithm is based on the relative stability of ground reflectance and the sudden variations in reflectance that result from cloud cover. The algorithm first searches the clear-sky reference data, and then discriminates clouded and unclouded pixels by detecting a sudden change of reflectance in the blue wavelength and spectral correlation coefficient at the pixel level. Compared with cloud cover assessments obtained from MODIS' original CM, TSCD provides similar or better discrimination in most situations when the land surface changes slowly. 相似文献
50.
We use a linear unmixing approach to test how land use and forestry maps, in combination with the MODIS BRDF/albedo product, can be used to estimate land cover type albedos in boreal regions. Operational land use maps from three test areas in Finland and Canada were used to test the method. The resulting endmember albedo estimates had low standard errors of the mean and were realistic for the main land cover types. The estimated albedos were fairly consistent with albedo measurements conducted with a telescope mast and pure pixel albedos. Problems with the method are the possible errors in the land cover maps, lack of good quality winter MODIS albedo composites and the mismatch between the MODIS pixels and the true observation area. The results emphasize the role of tree species as determinant of forest albedo. Comprehensive spatial and temporal measurements of land cover albedo are usually not possible with in situ mast measurements, and the spatial resolution of MODIS albedo product is often too low to allow direct comparison of pixel albedos and land cover types in areas with heterogeneous vegetation. Hence, and since local forestry maps exist for most temperate and boreal regions, we believe that the proposed method will be useful in estimating average regional land cover type albedos as well as in tracking changes in them. 相似文献