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0000000..93590be --- /dev/null +++ b/vignettes/spatial_dhmv_query.Rmd @@ -0,0 +1,397 @@ +--- +title: "Dissecting a WCS Query: DHMV Case Study." +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{spatial_dhmv_query} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + + + + +# DHMV Data + +Flemish government agencies host a lot of useful web services and data. Some of those are available via web services and can be found here: + +- + + +This vignette demonstrates the **query of elevation data from the Digital Elevation Model**, "Digitaal HoogteModel Vlaanderen" (DHMV). We will do it "the complicated way", assembling a web api query. [In the end](#orgd59526e), you will see how to use `inbospatial` to get the same result in a single function call. + +This vignette is somewhat related to, but goes beyond the use of Web Feature Services (WFS) for spatial data, [see this tutorial by Thierry Onkelinx](https://inbo.github.io/tutorials/tutorials/spatial_wfs_services). In particular, I will document some paths and workarounds to explore if errors occur in the default `ows4R` procedure. + +**TL;DR:** see the `?inbospatial:get_coverage_wcs` function to query DHMV (or other WCS) data of a given point in Flanders. An example can be found below. + + + + +# Situation/Motivation + +The purpose of the code below is to query elevation data for an arbitrary location in Flanders. It can be found here: + +- + +Unfortunately, documentation about the API is sparse, so let's hope it complies with given standards. + +We will use Web Coverage Services (WCS), as standardized by the Open Geospatial Consortium (OGC). More info on these services can be found [in the "Geocomputation with R" book, for example](https://r.geocompx.org/read-write#geographic-web-services). The go-to R package for WCS is `ows4R` by Emmanuel Blondel and contributors, [available on github](https://eblondel.github.io/ows4R). + +Unfortunately, neither the geocomputation book's example, nor the vignette in [the `ows4R` package](https://eblondel.github.io/ows4R/articles/wcs.html), nor [the INBO tutorial](https://inbo.github.io/tutorials/tutorials/spatial_wfs_services) could be transferred to the DHMV usecase. The code simply did not work. + +Therefore, I ended up going back to the nitty-gritty aspects of WCS by **manually building a query**. + + + + +# Limits of `ows4R` Package + +Before revealing [the solution](#org803f24d), I will document the error and my path to working around it: the core problem was not trivial to see, and you might run into similar issues. + +Because, in fact, the `ows4R` package seems functional. In the tutorial mentioned above, [the `ows4R` package](https://cran.r-project.org/web/packages/ows4R/index.html) is used to query data from web services. However, `ows4R` cannot handle all niche server API's. + +First, we need to load some packages. + +```{r setup} +require("httr") +require("sf") +require("ows4R") +require("terra") +``` + +We can connect a WCS client. + +```{r} +WCS <- WCSClient$new("https://geo.api.vlaanderen.be/DHMV/wcs", "2.0.1", logger = "INFO") +``` + + +We can easily query the capabilities: + +```{r} +caps <- WCS$getCapabilities() +``` + +This would grab the same info as you can find in this xml file: + +Note that the *capabilities* xml holds a lot of valuable information: + +- First and foremost, search it for `CoverageID`; in this case, I was interested in `DHMVII_DTM_1m`: grid coverage of the LIDAR elevation data for Flanders. +- We can also find that the Coordinate Reference System (CRS) `crsSupported` is EPSG:31370, aka. [Belgian Lambert 72](https://epsg.io/31370). Always good to know. +- Finally, the capabilities xml provides a `version`: 2.0.1 at the time of writing. Yet keep that in mind for a bit. + +The "capabilities" are, per OGC standards, your go-to place for finding API documentation. + +In R, we can receive further information conveniently via `ows4R`. This works via the "coverage summary" … + +```{r} +feature <- "DHMVII_DTM_1m" +dtm_smry <- caps$findCoverageSummaryById(feature, exact = TRUE) +dtm_smry +``` + +… and the coverage description. + +```{r} +# Get description from the WCS client +dtm_des <- WCS$describeCoverage(feature) +dtm_des +``` + + +Finally, it is important to know which dimensions are available: `LON/LAT`, `x/y`, or maybe `time`? + +```{r} +dtm_dims <- dtm_smry$getDimensions() +dtm_dims +``` + + +So far, so good. + +Now, following the tutorials to get some real data: + +```{r} +x_test <- 148600 +y_test <- 208900 +radius <- 1 # (+/- m) + +hopo_boxed <- OWSUtils$toBBOX( + xmin = x_test - radius, + xmax = x_test + radius, + ymin = y_test - radius, + ymax = y_test + radius + ) +``` + +I will write the file to disk: + +```{r, eval=FALSE} +tryCatch({ + dtm_data = dtm_smry$getCoverage( + bbox = hopo_boxed, + filename = tempfile(fileext = ".tif") + ) + dtm_data +}, error = function (err) {message(err)}) +``` + +… or, maybe not. The function fails, somehow. + +*Status quo:* + +- I receive a `tif` file (because *I called it* "tif"), supposedly some kind of GeoTIFF image (because I *asked* for `image/tiff`). +- I also receive a couple of error messages and warnings: + - *"Start tag expected, '<' not found"* + - *"cannot open this file as SpatRaster:…"* + - *"not recognized as being in a supported file format. (GDAL error 4)"* + +Maybe most useful, `ows4R` briefly displays the URL it used to attempt data query: `https://geo.api.vlaanderen.be/DHMV/wcs?service=WCS&version=2.0.1&coverageId=DHMVII_DTM_1m&subset=x(148599,148601)&subset=y(208899,208901)&format=image/tiff&request=GetCoverage` + +Let's break this URL down: + +- the desired `service` is indeed `WCS`, +- `version` is `2.0.1` (I would guess) +- `request`, `coverageID`, and `format` seem to be as expected +- there are `subset` components for the respective dimensions. + +Feel free to try yourself to paste the URL to a browser and download the file. + +Still, the downloaded file is unreadable. Subtle symptom: even if one adjusts the `subset` (i.e. `bbox` argument, above), the received tif does not change in size; the download is bbox-agnostic, so to speak. + +Opening the file with a text editor such as [vim](https://www.vim.org), we see an XML part, some generic binary stuff, some hints that this [should be a GML](https://en.wikipedia.org/wiki/Geography_Markup_Language). + +There are [sample geotiffs online](https://github.com/mommermi/geotiff_sample/blob/master/sample.tif), and they look different, or maybe not. Gml is clearly not geotiff, except maybe for the binary part (which I tried to extract, to no avail). + +The file does not download with an extension, and it is still unclear what it actually is. + + + + +# The Lead: QGIS + +Well, there is advanced software to open GeoTIFF'esque files. Or geography markup. At least some software might be able to identify what we actually have here. + +First, if R failed, Python might work. + +``` +import rasterio +import rasterio.plot + +data_name = "/tmp/test_hopo.tif" +tiff = rasterio.open(data_name) +rasterio.plot.show(tiff, title = "will this work? no!") +``` + +… but it doesn't recognize the file type as raster data. + +How about **[QGIS](https://qgis.org)?** *"Spatial Without Compromise"*, they advertise. Unfortunately, that program also was unable to open the file downloaded in R. + +However, QGIS can actually connect to WCS directly. This does not help much if you need the data in R. Yet, why not. + +Look and behold: qgis can actually connect to and query elevation data for Flanders; good indication that the `geo.api` is, somehow, functional. I could zoom and move, export images. I could even export the data. I stopped exporting the data when it threatened to entirely filled my tiny system partition (the raster data is more than 100GB) - good confirmation that we want web services for this. + +And, luckily, at some careless map movement, I received an error output from QGIS. With it, QGIS gave me a working URL to query DHMV: + +- `https://geo.api.vlaanderen.be/DHMV/wcs?SERVICE=WCS&VERSION=1.0.0&REQUEST=GetCoverage&FORMAT=GeoTIFF&COVERAGE=DHMVII_DTM_1m&BBOX=162064,165735,170953,168882&CRS=EPSG:31370&RESPONSE_CRS=EPSG:31370&WIDTH=1622&HEIGHT=574` + + +```{r echo=FALSE, out.width='90%'} +knitr::include_graphics("../man/figures/qgis_lead.avif") +``` + +Let's dissect this URL. + + + + +# The Solution: Query Building + +If you start at the question mark of the URL, and split at every ampersand, you can extract the following components from the (correct) QGIS URL: + +| **correct:** | | +|---------------------- |--------------------------------- | +| SERVICE | WCS | +| VERSION | 1.0.0 | +| REQUEST | GetCoverage | +| FORMAT | GeoTIFF | +| COVERAGE | DHMVII_DTM_1m | +| BBOX | 162064,165735,170953,168882 | +| CRS | EPSG:31370 | +| RESPONSE _CRS | EPSG:31370 | +| WIDTH | 1622 | +| HEIGHT | 574 | + +Compare this to the (unsuccessful) `ows4R` attempt: + +| **non-functional:** | | +|------------------- |--------------------------------- | +| service | WCS | +| version | 2.0.1 | +| coverageId | DHMVII_DTM_1m | +| subset | x(148599,148601) | +| subset | y(208899,208901) | +| format | image/tiff | +| request | GetCoverage | + +You can selectively shuffle and adjust components, generalizing the working query and learning about the WCS API. Which feels a bit like [fuzzing](https://en.wikipedia.org/wiki/Fuzzing) the `geo.api`. + +Here is what I found: + +- `service` (`WCS`) and `request` (`DHMVII_DTM_1m`) were correct; the latter could be swapped for different datasets +- `coverage` is the correct keyword for reading `DHMVII_DTM_1m` +- `version` must be `1.0.0`; it currently does not work with 2.0.1 +- instead of subsetting, we can use a `bbox`… +- … but a `width` and `height` of the output image are mandatory; alternatively there are `resx` and `resy` (not shown) +- we must specify a `CRS` (`EPSG:31370`), optionally also a `response_crs` +- the `format` is `GeoTIFF`; slashes are weird in URLs anyways + +After some more trial and error, I could construct working URLs in R and generalize this to a function. + +```{r} + +get_elevation_wcs <- function(x, y, radius = 1, file = NULL) { + # Please note that this function lacks a lot of + # assertions and documentation. + + # get bbox + bbox = paste(x - radius, x + radius, + y - radius, y + radius, + sep = ",") + + # the URL components + base_url = "https://geo.api.vlaanderen.be" + endpoint = "/DHMV/wcs" + + # the query parameters which worked in QGIS + elevation_query = list( + service = "WCS", + version = "1.0.0", + request = "GetCoverage", + format = "GeoTIFF", + coverage = "DHMVII_DTM_1m", + bbox = bbox, + width = 2*radius, + height = 2*radius, + crs = "EPSG:31370" + ) + + # get wcs data + if (is.null(file)) { + file = tempfile(fileext = ".tiff") + } + res = GET(url = modify_url(base_url, path = endpoint), + query = elevation_query, + write_disk(file)) + # note: saving this to a file is optional, + # but might prevent double download or loss of data + + # re-read raster file + data = rast(file) + + return(data) + +} +``` + +Example usage: + +```{r} +x_test <- 148600 +y_test <- 208900 +radius <- 10 # (+/- m) +test_raster <- get_elevation_wcs(x_test, y_test, radius = radius) + +# we can extract a value at a point: +extract(test_raster, cbind(x_test, y_test))[[1]] + +``` + + +Voila! We can now get the elevation of a given location in Flanders via DHMV web services. + + + + +# The "inbospatial" Way + +My colleague [Hans Van Calster](https://github.com/hansvancalster) had been facing the same problems with related API's a year earlier, and he wrote a function for it in [the \`inbospatial\` package](https://github.com/inbo/inbospatial). + +Here is how to use it, for the same case as above: + +```{r} +require("sf") +require("inbospatial") + +bbox <- sf::st_bbox( + c(xmin = 148000, xmax = 149000, ymin = 208000, ymax = 209000), + crs = sf::st_crs(31370) +) +hopo_raster <- get_coverage_wcs( + wcs = "DHMV", + bbox = bbox, + layername = "DHMVII_DTM_1m", + resolution = 1 +) + +plot(hopo_raster, col = gray.colors(256)) +``` + +The function gives you quite some options of API's to query data from. + + +| **wcs** | **layername** | **reference** | +|------------------- |--------------------------------- |---- | +| dtm | `EL.GridCoverage.DTM` | [here](https://www.vlaanderen.be/datavindplaats/catalogus/hoogte-dtm) | +| dsm | `EL.GridCoverage.DSM` | [here](https://www.vlaanderen.be/datavindplaats/catalogus/hoogte-dsm) | +| dhmv | `DHMVI_DTM_5m` | [here](https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/9b0f82c7-57c4-463a-8918-432e41a66355) | +| dhmv | `DHMVII_DTM_1m` | [here](https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/f52b1a13-86bc-4b64-8256-88cc0d1a8735) | +| dhmv | `DHMVII_DSM_1m` | [here](https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/0da2e5e4-6886-426b-bb82-c0ffe6faeff6) | + +At a quick glance, we found that the `dtm` wcs seems to include canopy points, which is not according to definition; see here: A general advice is to confirm your data for a region you know. + +In addition, there are `oi-omz` and `oi-omw` for "zummer" and winter orthomosaic images. + +The burden of choice! + + + + +# Post Mortem + +The value of this vignette seems to be limited: in essence, it provides the specific query function arguments for elevation model queries with the `geo.api` of the Flemish digital services. Quite a niche use case. + +However, this is also a story of tracing errors in existing tools, and scraping other tools for hints. + +Can we actually trace the error back to a source? It was pure co-incidence that QGIS provided a working link, or are there general strategies? + +In retrospective, the initial issue was worsened by unfavorable circumstances. + +- `ows4R` retrieved a file, despite the wrong query; yet the error was only thrown downstream. +- Documentation for the `geo.api` is lacking (or I did not find it); in particularly I missed usage examples, vignettes, or tests. + +The colleagues at "Digitaal Vlaanderen" or the DHMV group certainly had enough work on their table, yet more documentation would be desirable. Same for `ows4R`, judging by their [github issue list](https://github.com/eblondel/ows4R/issues) (see e.g. [this one](https://github.com/eblondel/ows4R/issues/114)). On the other hand, [QGIS is free- and open source](https://en.wikipedia.org/wiki/QGIS), its queries seem to be well maintained and are accessible, errors are transparent, I could have read the source code - a good example piece of software. + +Yet in general, if you run into issues like this, do not hesitate to contact support or file a github issue. + +You should not need to fuzz an API. + +Thank you for reading, and may all your spatial api queries be successful! + + +# Table of Contents + +- [DHMV Data](#org86b1211) +- [Situation/Motivation](#org75073fb) +- [Limits of `ows4R` Package](#orge6d66b9) +- [The Lead: QGIS](#orgfaa5a3d) +- [The Solution: Query Building](#org803f24d) +- [The "inbospatial" Way](#orgd59526e) +- [Post Mortem](#org575ca41) +