Geotagging Images using Geosetter in Google Earth Environment

Attachment: Methodology flow diagram & Final Outputs in kmz Coordinates were required to be assigned to a set of 50 images which were to be taken manually by the user. So, Images had to be procured, their locations were to be known and the location was required to be inscribed in the Image Metadata. Step 1: Obtaining Images + Location Google Earth has Google Photos which are uploaded by Individual users. These photos were enabled in Google Earth and each image was copied and pasted in MS Paint and then saved with an appropriate name At each image, the location pins were placed to mark the coordinates for each image Step 2: Extracting the coordiantes The marked pin locations in Google Earth were saved as: Save My Places -> .kml This kml file was uploaded to https://mygeodata.cloud/converter/kml-to-csv to convert it into csv file to read the lat & long for each pinned markings Step 3: Embedding Coordinates in Image Metadata Geosetter Software enables us to embed coordinated in each Image file. Images were loaded in Geosetter and the subsequent coordinates were added with the Edit Data dialogue. The location name of each image was added in Object Name. The Images were then exported with thumbnail size=2000 and thumbnail={Object_Name}附件：方法流程示意图与.kmz格式最终输出成果 需为50张用户手动拍摄的图像分配地理坐标。因此需采集图像，明确各图像的拍摄位置，并将位置信息写入图像元数据(Image Metadata)。 步骤1：图像采集与位置获取 谷歌地球（Google Earth）集成了用户个人上传的谷歌相册（Google Photos）资源，启用该相册集成功能后，将每张图像复制粘贴至微软画图（MS Paint）中，并以合适的文件名保存。在每张图像对应的拍摄位置放置定位标记，以记录其坐标信息。 步骤2：坐标提取 谷歌地球中标记的定位点可通过「我的位置」(Save My Places) 菜单导出为.kml格式文件。将该.kml文件上传至https://mygeodata.cloud/converter/kml-to-csv，将其转换为逗号分隔值（CSV，Comma-Separated Values）格式文件，以便读取每个定位标记对应的纬度与经度信息。 步骤3：将坐标嵌入图像元数据(Image Metadata) GeoSetter软件支持将坐标信息嵌入各图像文件。将图像导入GeoSetter后，通过「编辑数据」(Edit Data) 对话框添加对应坐标，同时在「对象名称」(Object Name) 字段中填入每张图像的位置标识名称。最后导出图像，设置缩略图尺寸为2000，且缩略图命名遵循`{Object_Name}`格式。