A

Ageno, M.

• Research on the Display of Ultra-Large Point Cloud Data Using a 3DWebGIS Distributed Rendering System, pages 39–44

Ameline, G.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

Anderson, J.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Anne, A.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

B

Baleilomaloma, A. L.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10

Bernasocchi, M.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Biukoto, E.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10
• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Blake, M.

• Developing a ‘live’ map of spatial access to health services in Aotearoa New Zealand, pages 89–94

Bovy, B.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

Brovelli, M.

• Fast Urban Digital Twin Prototyping Based on Open Data, pages 17–24

C

Carrion, D.

• Geomatics and open-source for road infrastructure management: standards, technologies, and future directions, pages 25–31

Caucau, T.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10

Chan, W. T.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

D

Delouis, J.-M.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

Dhaja, C.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Ding, H.

• Knowledge sharing and boundary conditions within the virtual community: an examination of free and open-source software communities, pages 11–16

Du, J.

• Knowledge sharing and boundary conditions within the virtual community: an examination of free and open-source software communities, pages 11–16

Duque Ordoñez, J. P.

• Fast Urban Digital Twin Prototyping Based on Open Data, pages 17–24

F

Fa’anunu, L.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

G

Gaspari, F.

• Geomatics and open-source for road infrastructure management: standards, technologies, and future directions, pages 25–31

J

Jackson, N.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Jere, M.

• Transformer-LSTM Improve Maize-Yield Estimation in Smallholder Fields of Malawi, pages 33–38

K

Kagatani, Y.

• Research on the Display of Ultra-Large Point Cloud Data Using a 3DWebGIS Distributed Rendering System, pages 39–44

Kawanabe, T.

• Research on the Display of Ultra-Large Point Cloud Data Using a 3DWebGIS Distributed Rendering System, pages 39–44

Killough, B.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10
• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Kmoch, A.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

L

Leith, A.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10
• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Lodhia, S.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

M

Magin, J.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

Mangafić, A.

• i.hyper: processing hyperspectral imagery in GRASS, pages 53–58
• A Scalable Open-Source System for Impervious Land Mapping Using GRASS and the Python Ecosystem, pages 95–100

Mateboto, J.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10

Metherall, N.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10
• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Miyauchi, T.

• Assessment of Display Performance and Comparative Evaluation of Web Map Libraries for Extensive 3D Geospatial Data, pages 83–88

Mlisa, A.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Munthali, K.

• Transformer-LSTM Improve Maize-Yield Estimation in Smallholder Fields of Malawi, pages 33–38

N

Naikatini, A.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10

Nisha, Z.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10

Nishimura, Y.

• Assessment of Display Performance and Comparative Evaluation of Web Map Libraries for Extensive 3D Geospatial Data, pages 83–88

O

Odaka, T.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

Ono, K.

• Research on the Display of Ultra-Large Point Cloud Data Using a 3DWebGIS Distributed Rendering System, pages 39–44

P

Pincham, M.

• Developing a ‘live’ map of spatial access to health services in Aotearoa New Zealand, pages 89–94

Pinto, L.

• Geomatics and open-source for road infrastructure management: standards, technologies, and future directions, pages 25–31

Q

Quinsey, S.

• Developing a ‘live’ map of spatial access to health services in Aotearoa New Zealand, pages 89–94

R

Rai, K.

• Spatiotemporal Analysis of Forest Disturbance Dynamics in Maharashtra Using Remote Sensing Techniques, pages 73–81

S

Saipaia, A.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Seto, T.

• Assessment of Display Performance and Comparative Evaluation of Web Map Libraries for Extensive 3D Geospatial Data, pages 83–88

Shiwaku, Y.

• Assessment of Display Performance and Comparative Evaluation of Web Map Libraries for Extensive 3D Geospatial Data, pages 83–88

Singh, G.

• Spatiotemporal Analysis of Forest Disturbance Dynamics in Maharashtra Using Remote Sensing Techniques, pages 73–81

Singh, S.

• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

T

Tsuruta, S.

• Research on the Display of Ultra-Large Point Cloud Data Using a 3DWebGIS Distributed Rendering System, pages 39–44

Tupua, V.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10

U

Uuemaa, E.

• Towards universal building blocks for cloud-native digital-twins, pages 45–52

W

Waqa, M.

• Applying replicable open-source workflows to identify invasive flora: Spathodea campanulata in a small-scale forest plot in Korotari, Fiji, pages 1–10
• Free and open-source machine learning workflows for co-creating national-scale classification models through country-driven QField surveys and Digital Earth Pacific, pages 59–71

Whitehead, J.

• Developing a ‘live’ map of spatial access to health services in Aotearoa New Zealand, pages 89–94

Y

Yoshida, D.

• Assessment of Display Performance and Comparative Evaluation of Web Map Libraries for Extensive 3D Geospatial Data, pages 83–88

Ž

Žagar, T.

• i.hyper: processing hyperspectral imagery in GRASS, pages 53–58
• A Scalable Open-Source System for Impervious Land Mapping Using GRASS and the Python Ecosystem, pages 95–100