Working with Raster Data Using Python - Esri

嚜獨orking with Raster Data using Python

Nawajish Noman, Hao Hu

Outline

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What can you do with raster in Python?

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ArcPy modules for raster analysis

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Raster object

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Visualization and exploration of raster data

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Raster data management and processing

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Raster analysis

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NumPy array and custom analysis

Working with Raster in Python

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Visualization and exploration

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Data preprocessing, batch processing, workflow automation

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Data management

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Raster analysis

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Custom raster analysis

Python API for Raster Processing and Analysis in ArcGIS

ArcGIS API

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ArcPy

Work with ArcGIS

Enterprise/ArcGIS Online

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Requires Desktop App

(ArcGIS Pro/ArcMap)

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Remote processing

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Local processing

ArcPy

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ArcGIS API

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ArcPy 每 Over 1300+ Comprehensive GIS Tools

Data Management

? Convert between formats, 2D

3D, build topology, data

reviewer, linear referencing,

? data comparison, manage

spatial databases, distributed

editing, servers & services

? Specialized datasets 每

parcels, utility networks,

address locators, network

datasets

Location analytics

? business intelligence 每

market penetration, Huff

model, suitability analysis,

territory design,

? Network 每 routing, OD cost

matrix, service area, location

allocation

? Geocoding 每 batch, reverse,

composite

Raster Analysis

? Extraction, overlay, proximity,

distance, hydrology,

multivariate, map algebra,

neighborhood, fuzzy overlays

Cartography

? annotations, generalization,

map series, masks

? 100+ projections and

transformations

Imagery analysis

Spatial Machine Learning

? management 每 mosaic

datasets, raster algebra,

? Interpolations, spatial

sampling, simulations,

? ortho mapping 每 point cloud,

stereo model,

photogrammetry, surface

creation, ortho rectification

? Stats 每 enrich, density, hot

spot, clustering,

autocorrelations, balanced

zones, outliers, similarity

search, local bivariate

relationships

? information extraction 每

classification, object

detection, segmentation,

spectral analysis, statistics

? Prediction 每 random forests,

GLR, OLS, GWR, validation

? editing tools 每 conflation,

densify, cartographic

refinement

? Full motion imagery,

multidimensional rasters,

solar radiation

? Pattern mining 每 emerging

hot spot, time series

clustering,

? Layouts, printing, map series

? Hundreds of math and stat

tools

? Big Data 每 GeoAnalytics

desktop tools

3D

? LAS classification, extraction,

terrain, TIN, DEM, DSM,

volume analysis

? Surface analysis 每 aspect,

contour, cut fill, hillshade,

slope, line of sight, sun

shadow, viewshed, hydrology

? Deep Learning 每 classify

objects, classify pixels, detect

objects, export training data,

train model

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