Latest Contributions by larryzhang

As one of veteran ESRI enterprise users, very pleased to see ArcGIS 10.5 /Pro 2 having significant improvements, especially, with Ortho Mapping on raster.     With this module in ArcGIS, right now we can directly build 'more reliable' block bundle from VHR stereo pairs of imagery and then generate 'more accurate' point clouds, which can be used for advanced LAS classification, 3D feature extraction, and further 3D modeling 'completely within' ArcGIS and CityEngine, in particular, in urban, industrial, and forest areas.   Thanks for great effort, raster team!   Certainly, looking forward to having 2D feature extraction module available in ArcGIS sooner, which should be based on object based/ oriented framework like Bayasian Networks or NN.   Regrads,   ++++++++++++++++++++++ PS., For generation of point cloud from stereo pair, we used to get it done through eATE (LPS, ERDAS). For 3D feature extaction, we used to use ERDAS Stereo (LPS, ERDAS).   https://hexagongeospatial.fluidtopics.net/reader/~P7L4c0T_d3papuwS98oGQ/HpYERGtlhff25pudznCQaw   https://hexagongeospatial.fluidtopics.net/reader/~P7L4c0T_d3papuwS98oGQ/C9lfWwamTAEoc_ap6EfxpQ   For automation of 2D feature extraction (footprints, tree stands, roads, etc.), have been using ERDAS Objective for almost a decade.   https://hexagongeospatial.fluidtopics.net/reader/~P7L4c0T_d3papuwS98oGQ/t9N_rS~dAbcCSfIbif2rkw ... View more

Hey, guys Many of our LAS data (which were not processed/ classified by the data vendors) urgently need edit and clean up, in particular, detection and removal of massive ‘outlines’.  After well done in this way, we expect that the results of LAS data can well represent DSM (digital surface model). Of course, those DSM will be used to do further processing and analysis. The question is: In ArcGIS, any effective GP tools can be used to assist us to meet this goal? Ideally, a GP tool that utilizes RANSAC algorithm (random sample consensus) is available. If not, any alternatives? Please advice ... View more

Hello, data analysis and business intelligent team, As well known,  with the assistance of Exploratory Spatial Data Analysis (ESDA) tools in ArcGIS, we can get deep insight about our data, so that those analysis results can help us to choose the best interpolation algorithm and also the right analysis methods. Similarly, the Exploratory Regression (ER) analysis tool is also widely used for data analysis practitioners to easily find a properly specified OLS model (Ordinary Least Squares). Sometimes, it certainly works good, especially, when no extreme outliers in the datasets. However, many factors and technical considerations drive us to consider the combination of both ESDA and ER analysis methods together in practice, because we believe that will significantly improve the reliability of the analysis model and prediction accuracy, in particular, for detection of outliers (spatially over time) ... So, as data analysts, please share any relevant thoughts about this? For example, advantages and benefits, some cautions ... when combing both together in your applications. Regards, ... View more

Hello, Raster Team ESRI, Can you advise if there is any effective IT approach or workflow to 'partially' replace the existing (large & old) cache with new and smaller cache folder? The background is: With ArcGIS 10.x, we do have efficient IT method to 'completely' replace the existing old cache (level by level or scale by scale) with the brand new cache folder, without stopping cache service. So, we do expect that an effective IT way does exist to efficiently help us to 'partially' update the existing large and old cache (saying, nationally, globally) with the small portions of latest cache (i.e., AOIs at certain scales), which are frequently required over time to update in operation. For last 6 years, on our practice, the GP tools with 'Import Cache Tiles' and 'Export Cache Tiles' (with AOIs) in ArcGIS 10.x /Pro 1.x demonstrate not only very poor performance, but also 'mostly' fail to transfer cache (at certain levels or certain areas, i.e., empty).  Not sure if it is reported before by other 'enterprise' users or can be reproducible to you team. And also wondering if those symptoms are enough to indicate that those two GP tools do not reliably/stably copy cache from the new cache folder to the old cache folder under specific AOIs in practice. Regards, +++++++++++++++ PS, Common errors during updating the old cache folder with the new cache for certain AOIs at certain scales showed as follows. ... Executing: ImportTileCache CacheImagery_ImageServer p1_2017_REDO 64000;32000;16000;8000 AMD_Cache2017_P1 Start Time: Sun Jun 04 13:08:51 2017 Importing tile cache using 32 parallel instances. Importing tile cache for feature with OID: 1. Importing cache for scale: 64000. WARNING 001478: Failed to import cache for scale : 64000 Importing cache for scale: 32000. Success to import cache for scale: 32000 Importing cache for scale: 16000. WARNING 001478: Failed to import cache for scale : 16000 ..... ... View more

Hello, fellows, With Conda and Python Package Manager, ArcGIS Pro 1.4 offers a great way to install and update external open-source Python packages. Plus with the support of R (Microsoft R Server) via R-ArcGIS binding, ArcGIS Pro 1.3/ 1.4 has gradually become an innovation platform in development environment, especially for raster and data analytics ...  However, it is still challenging for us to install and update behind the firewall (in the enterprise environment), particularly Python packages in ArcGIS Pro. For example, first to determine and download all dependencies of the Python package (saying, TensorFlow, openCV, etc.), including dependencies of those dependencies (dependency tree), into a local repository (copy and transfer to this repository), and then automatically to install from the local repository behind the firewall.   So, does ESRI have plan to improve the Python Package Manager sooner? Or, is there any 'effective & reliable' way to automatically create a local Python package dependencies and dependencies of those dependencies first, and then automatically install those into ArcGIS Pro from the local repository in the enterprise (via conda, pip or any other)? (Relatively, much easier for us to do with R packages and dependencies for ArcGIS Pro ..., even not effective) Regards, Larry @ ARAMCO ... View more