Visualization APIs

Hi everyone,I’ve been working on a project that pulls high-frequency satellite imagery into a mobile dashboard for field monitoring, but I’ve hit a bit of a bottleneck with the integration. Lately, whenever I try to trigger a sequence of automated tile requests, the interface starts to stutter significantly. It feels like the main thread is blocking during the signature handshake, which leads to the whole map view hanging for several seconds before the layers finally populate.I’ve already looked into my memory management and tried to async the provider calls, but the "micro-freezes" are still there. I even experimented with a delta vng configuration for my background execution tasks to see if a more modular script handler would prevent the browser from stalling, but I’m still seeing these intermittent handshake errors during the data pull.Has anyone else here dealt

Dear Team, My usecase demands the satelite picture used for my analysis. I am using it for very basis purposes. 1. Vegitation index 2. Construction indexI would like to see the images. I am using Sentenial-hub API. can some one guide me how to get the exact images for that particular period.Note: results are good NDVI -VegitationNDBI - Built up areaNDWI - moisture I only need to have the images used for the analysis. one clear image of the location.Guide me how to get those?

Hello. I need help understanding why i am unable to view all of Taveuni Island on the tropical basemap. The international dateline crosses the island so now i basically have more than half of the island unavailable for monitoring forests. Can someone help me figure out a solution?   

I am using “ogc/wms/” api and NDVI layer i am using //VERSION=3function setup() {    return {        input: ["B04", "B08", "SCL","dataMask"],        output: [            { id: "default", bands: 4 },            { id: "index", bands: 1, sampleType: "FLOAT32" },            { id: "eobrowserStats", bands: 2, sampleType: 'FLOAT32' },            { id: "dataMask", bands: 1 }        ]      };}function evaluatePixel(samples) {    let val = index(samples.B08, samples.B04);    let imgVals = null;    // The library for tiffs works well only if there is only one channel returned.    // So we encode the "no data" as NaN here and ignore NaNs on frontend.    const indexVal = samples.dataMask === 1 ? val : NaN;      if (val<-0.5) imgVals = [0.05,0.05,0.05,samples.dataMask];    else if (val<-0.2) imgVals = [0.75,0.75,0.75,samples.dataMask];    else if (val&

R is a powerful statistical data analysis tool.  Planet data like PlanetScope or Forest Carbon are datasets which are well suited for statistical analysis because they are multi-temporal with many observations; daily in the case of PlanetScope and yearly in the case of Forest Carbon Diligence.When analyzing how locations have changed over time, one method is to calculate zonal statistics over specific areas of interest to summarize a value, such as index (e.g. NDVI) or Aboveground Carbon Density for Forest Carbon.  To extr

I have a question about how planet is processing NDVIs I can download a 4 or 8 band image from planet and then process it in Qgis using the NDVI formula (NIR-Red) / (NIR+Red) and get a nice looking NDVI.When I get the same image from the API and drag it into Qgis the image has much lower total reflectance its about 70% darker. For example in the hand processed image Low value Vs high value is .219 and .585 in the same image that is pulled from the API the value is -.04 and .268 In the subscription there is a line called bandmath. "type": "bandmath","parameters"": {"b1": "(b4-b3)/(b4+b3)"," "pixel_type": "32R"}} it looks like bandmath is running the same NDVI formula I am B4 is Nir and B3 is Red how am I getting such different values between the two processes and why is there negative values in every image I get? I have maybe once hand processed a

We are loading PlanetScope and SkySat tiles into an application using Google Maps API V3. It automatically requests tiles via the Planet API based on zoom level and x and y values.Since Planet scenes may not take up the entire bounding box of the map, we are sometimes calling the API for x and y values that may not produce a tile.Is there a way of checking ahead of time whether a tile is available at the x and y location so as to reduce the calls to the Planet API if there is no tile there? We call the API on the server so as to hide the API key, then return the resulting PNG file to the browser.Many thanks for your help,Dan

I have an AOI on the Planet explorer, with the actual satellite image showing on my Planet Explorer already. Is there a way download it through an API as it seems like that image is already paid by my quota on Scene tiles. To clarify, how do I only download this image below.Thanks

Hi Planet Community,My team and I are trying to download clipped and harmonized imagery through the API, the clip tool is running but the harmonized isn’t.We are working with the Surface Reflectance product bundle, so we defined Sentinel - 2 as the target sensor.Below, are the screenshots of the code we are using in Visual Studio IDLE. The goal is to integrate the workflow into an ArcGIS Toolbox.If anyone has worked with this tool or knows the reason why our code is failing we’ll be glad for the help.Thanks in advance.