数据集研究区域为法国Drôme河在Luc-en-Diois和 Recoubeau-Jansac间长5Km 长的河道及其周围地貌环境，河道宽度在10-200m之间，河床主要是由疏松砂岩、砾石和卵石构成，河道宽而浅，弯曲度小，沿河没有堤坝，河道不固定，迁移迅速，河道两岸植被茂密。
\n\n数据集由两部分数据组成，一是正射影像数据，二是DEM，共十个Geotiff格式数据文件，地理坐标系为RGF93_Lambert_93，正射影像清晰显示出河道和植被等相关地貌，空间分辨率为0.1m，像素深度为8位整型。DEM压缩数据像素深度为32位浮点型，空间分辨率为0.2m/0.3m。整个区域高程值在480米-580米之间。以2006年数据为例，正射影像数据名为2006Drôme.tif，二是DEM名为2006Drôme dem.tif。
", "ds_source": "原始数据：无人机影像数据是法国国家科学研究中心(CNRS，Centre National de la Recherche Scientifique)在2005-2009年对Drôme 进行无人机遥感监测获取的影像，该数据是利用无人机（Pixy Drone）系统搭载高清相机，获取覆盖整个研究区域高度重叠、高分辨率、真彩色数码影像，影像格式为JPEG。
", "ds_process_way": "SfM （Structure from motion）数据处理流程：主要处理流程如下：（1）为了保证影像数据处理精度，对影像进行初步质量检测，剔除畸变严重，模糊，异常和不在研究区域的影像，将预处理后的无人机遥感影像导入PhotoScan。（2）计算重叠影像匹配点，估计每张影像的位置，生成稀疏点云。（3）导入具有精确地理坐标的地面控制点，将数据从图像空间坐标系变换为现实世界空间坐标系，进一步对模型进行优化并获取相机和稀疏点云的真实空间位置。（4）计算深度信息，生成密集点云。（5）生成带有空间地理坐标信息的正射影像和DEM，输出时可以调整分辨率大小和投影类型，输出数据。
", "ds_quality": "本数据集主要通过以下手段进行质量控制：\n1. 数据源质量控制。为生成高质量的数据，对无人机影像进行检查和筛选，确保高质量的影像覆盖整个研究区并具有较高重叠度。\n2. 处理过程中质量控制。无人机影像采用目前可用的、主要商业SfM软件-AgiSoft Photoscan专业版进行处理，同时加入分布均匀足够数量高精度的地面控制点，作为地理参考，对点云模型进行配准和优化。\n3.数据质量评估。选取部分标记点作为检查点，统计检查点在X(经度)、Y(纬度)、Z（高度）方向上均方根误差（RMSE，root mean Square error）的误差和整体误差，通过检查点处误差的统计分析分析，可以对正射影像和DEM数据误差有清楚的认识。
", "ds_acq_start_time": "2005-01-01 00:00:00", "ds_acq_end_time": "2009-12-31 00:00:00", "ds_acq_place": "法国Drôme河Luc-en-Diois和 Recoubeau-Jansac间长5Km的河道", "ds_acq_lon_east": 5.4, "ds_acq_lat_south": 44.61638888888889, "ds_acq_lon_west": 5.4, "ds_acq_lat_north": 44.61638888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 5976349056, "ds_files_count": 11, "ds_format": "tif", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "RGF93", "ds_thumbnail": "f5b8009d-f6e7-49d5-a95d-bd757a7bbabf.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "为保障平台科技资源的权益、扩展平台中心的服务、提升科技资源的应用潜力，请资源使用者在使用资源所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明资源来源和资源作者。", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-12-18 11:17:02", "last_updated": "2023-08-25 11:18:18", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1383", "i18n": { "en": { "title": "The orthophoto and DEM data set of the French Dr? Me River from 2005 to 2009", "ds_format": "tif", "ds_source": "Original data: the UAV image data is the image obtained by CNRS (Centre National de la recherche Scientifique) in 2005-2009 from the UAV remote sensing monitoring of Dr ô me. The data is obtained by using the UAV (pixy The system is equipped with a high-definition camera to obtain a high overlap, high-resolution, true color digital image covering the whole research area, and the image format is JPEG.
", "ds_quality": "This dataset is mainly used for quality control by the following means:\n
\nThe research area of the data set is the 5km long river course between Luc en diois and reconbeau jansac in France and its surrounding geomorphic environment. The width of the river course is between 10-200M. The river bed is mainly composed of loose sandstone, gravel and pebbles. The river course is wide and shallow with small curvature. There is no dike along the river, the river course is not fixed and moves rapidly, and the vegetation on both sides of the river course is dense.
\nThe data set consists of two parts: one is orthophoto data, the other is DEM. There are ten GeoTIFF format data files in total. The geographic coordinate system is rgf93 ﹐ Lambert ﹐ 93. The orthophoto clearly shows the river and vegetation and other related landforms. The spatial resolution is 0.1M, and the pixel depth is 8-bit integer. The pixel depth of DEM compressed data is 32-bit floating-point type, and the spatial resolution is 0.2m/0.3m. The elevation of the whole area is between 480m and 580m. Taking the data of 2006 as an example, the orthophoto data is named as 2006dr ô me.tif, and the DEM data is named as 2006dr ô me dem.tif.
", "ds_time_res": "", "ds_acq_place": "A 5km long channel between Luc en Diois and Recouberau Jansac in the Dr ô me River in France", "ds_space_res": "", "ds_projection": "RGF93", "ds_process_way": "SFM (structure from motion) data processing flow: the main processing flow is as follows: (1) in order to ensure the accuracy of image data processing, carry out preliminary quality detection on the image, remove the image with serious distortion, blur, abnormality and not in the study area, and import the pre-processing remote sensing image of unmanned aerial vehicle into photoscan. (2) The matching points of overlapped images are calculated, the position of each image is estimated, and sparse point cloud is generated. (3) Import the ground control points with precise geographical coordinates, transform the data from the image space coordinate system to the real world space coordinate system, further optimize the model and obtain the real space location of the camera and sparse point cloud. (4) Calculate depth information and generate dense point cloud. (5) Generating Orthophoto Image and DEM with spatial geographic coordinate information, the resolution size and projection type can be adjusted when outputting, and the data can be outputted.
", "ds_ref_instruction": "In order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "无人机", "运动与结构重建", "河流遥感", "正射影像", "DEM" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "德龙河（Drôme River）河" ], "ds_time_tags": [ 2005, 2006, 2007, 2008, 2009 ], "ds_contributors": [ { "true_name": "克里斯特尔·米歇尔", "email": "", "work_for": "里昂大学", "country": "中国" }, { "true_name": "皮尔盖", "email": "", "work_for": "里昂大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "崔丹丹", "email": "", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "克里斯特尔·米歇尔", "email": "", "work_for": "里昂大学", "country": "中国" } ], "category": "基础地理" }