domenica 20 novembre 2022

Snap GPT Resample, Subset, MathBand

Resample a 10m, Subset su finestra geografica, calcolo NDVI


 


<graph id="Graph">
  <version>1.0</version>
  <node id="Read">
    <operator>Read</operator>
    <sources/>
    <parameters class="com.bc.ceres.binding.dom.XppDomElement">
      <useAdvancedOptions>false</useAdvancedOptions>
      <file>${ingresso}</file>
      <copyMetadata>true</copyMetadata>
      <bandNames/>
      <pixelRegion>0,0,10980,10980</pixelRegion>
      <maskNames/>
    </parameters>
  </node>
  <node id="Resample">
    <operator>Resample</operator>
    <sources>
      <sourceProduct refid="Read"/>
    </sources>
    <parameters class="com.bc.ceres.binding.dom.XppDomElement">
      <referenceBand/>
      <targetWidth>10980</targetWidth>
      <targetHeight>10980</targetHeight>
      <targetResolution/>
      <upsampling>Nearest</upsampling>
      <downsampling>First</downsampling>
      <flagDownsampling>First</flagDownsampling>
      <resamplingPreset/>
      <bandResamplings/>
      <resampleOnPyramidLevels>true</resampleOnPyramidLevels>
    </parameters>
  </node>
  <node id="Subset">
    <operator>Subset</operator>
    <sources>
      <sourceProduct refid="Resample"/>
    </sources>
    <parameters class="com.bc.ceres.binding.dom.XppDomElement">
      <sourceBands>B4,B8</sourceBands>
      <tiePointGrids/>
      <region>0,0,0,0</region>
      <referenceBand/>
      <geoRegion>POLYGON ((11.141773223876953 43.80547332763672, 11.368977546691895 43.80547332763672, 11.368977546691895 43.664669036865234, 11.141773223876953 43.664669036865234, 11.141773223876953 43.80547332763672, 11.141773223876953 43.80547332763672))</geoRegion>
      <subSamplingX>1</subSamplingX>
      <subSamplingY>1</subSamplingY>
      <fullSwath>false</fullSwath>
      <copyMetadata>true</copyMetadata>
    </parameters>
  </node>
  <node id="BandMaths">
    <operator>BandMaths</operator>
    <sources>
      <sourceProduct refid="Subset"/>
    </sources>
    <parameters class="com.bc.ceres.binding.dom.XppDomElement">
      <targetBands>
        <targetBand>
          <name>newBand</name>
          <type>float32</type>
          <expression>(B8 - B4) / (B8 + B4)</expression>
          <description/>
          <unit/>
          <noDataValue>0.0</noDataValue>
        </targetBand>
      </targetBands>
      <variables/>
    </parameters>
  </node>
  <node id="Write">
    <operator>Write</operator>
    <sources>
      <sourceProduct refid="BandMaths"/>
    </sources>
    <parameters class="com.bc.ceres.binding.dom.XppDomElement">
      <file>/home/luca/sentinel/Subset_resampled_BandMath.tif</file>
      <formatName>GeoTIFF</formatName>
    </parameters>
  </node>
  <applicationData id="Presentation">
    <Description/>
    <node id="Read">
            <displayPosition x="37.0" y="134.0"/>
    </node>
    <node id="Resample">
      <displayPosition x="148.0" y="141.0"/>
    </node>
    <node id="Subset">
      <displayPosition x="264.0" y="142.0"/>
    </node>
    <node id="BandMaths">
      <displayPosition x="359.0" y="144.0"/>
    </node>
    <node id="Write">
            <displayPosition x="455.0" y="135.0"/>
    </node>
  </applicationData>
</graph>


Nessun commento:

Posta un commento

Physics informed neural network Fukuzono

Visto che puro ML non funziona per le serie tempo di cui mi sto occupando ed le regressioni basate su formule analitiche mostrano dei limiti...