Krishnachandran Balakrishnan
Biographic Data
| ID | 5652657 |
|---|---|
| NAME | Krishnachandran Balakrishnan |
| GIVEN NAMES | Krishnachandran |
| FAMILY NAME | Balakrishnan |
| SIGNATURE | BALAKRISHNAN K |
| AFFILIATIONS | Indian Institute for Human Settlements |
| ORCID | 0000-0003-1753-1353 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Generating megacity-scale building height maps without DGNSS surveyed GCPs
This paper describes an open-source method for generating megacity-scale building height maps without proprietary software or Differential Global Navigation Satellite System surveyed ground control points (GCPs). We use the open-source Satellite Stereo Pipeline (S2P) software along with four scenes of 2.5m resolution Cartosat-1 data for Bengaluru to demonstrate this. Digital Surface Models (DSMs) of 5 m resolution are generated using S2P, and ter…
An open-source tool to extract natural continuity and hierarchy of urban street networks
Urban streets exhibit a hierarchical structure. From a network analysis perspective, continuity of streets based on the interior angle between street segments can be used to define ‘natural streets’ or ‘strokes’. The length of these ‘strokes’ can then be used to generate a hierarchy of street network. While researchers have described methods for defining such strokes and released tools that enable such analysis, the existing tools are dependent o…
A method for urban population density prediction at 30m resolution
This paper proposes a new method for urban population density prediction at 30 m resolution. Using data for Bangalore, the paper demonstrates that population within each 30 m residential built-up cell can be modeled as a function of cell-level data on street density and building heights and ward-level data on car ownership. Building-height data were generated from Cartosat-1 stereo imagery using an open-source satellite stereo image processing so…
A method for urban population density prediction at 30m resolution
This paper proposes a new method for urban population density prediction at 30 m resolution. Using data for Bangalore, the paper demonstrates that population within each 30 m residential built-up cell can be modeled as a function of cell-level data on street density and building heights and ward-level data on car ownership. Building-height data were generated from Cartosat-1 stereo imagery using an open-source satellite stereo image processing so…
A method for urban population density prediction at 30m resolution
This paper proposes a new method for urban population density prediction at 30 m resolution. Using data for Bangalore, the paper demonstrates that population within each 30 m residential built-up cell can be modeled as a function of cell-level data on street density and building heights and ward-level data on car ownership. Building-height data were generated from Cartosat-1 stereo imagery using an open-source satellite stereo image processing so…
An open-source tool to extract natural continuity and hierarchy of urban street networks
Urban streets exhibit a hierarchical structure. From a network analysis perspective, continuity of streets based on the interior angle between street segments can be used to define ‘natural streets’ or ‘strokes’. The length of these ‘strokes’ can then be used to generate a hierarchy of street network. While researchers have described methods for defining such strokes and released tools that enable such analysis, the existing tools are dependent o…
Generating megacity-scale building height maps without DGNSS surveyed GCPs
This paper describes an open-source method for generating megacity-scale building height maps without proprietary software or Differential Global Navigation Satellite System surveyed ground control points (GCPs). We use the open-source Satellite Stereo Pipeline (S2P) software along with four scenes of 2.5m resolution Cartosat-1 data for Bengaluru to demonstrate this. Digital Surface Models (DSMs) of 5 m resolution are generated using S2P, and ter…
Computer Science (3 works) · Mathematics (3 works) · Statistics (3 works) · Cartography (2 works) · Engineering (2 works) · Geography (2 works) · Land Use and Ecosystem Services (2 works) · Remote sensing (2 works) · 3D Surveying and Cultural Heritage (1 work) · Artificial Intelligence (1 work)