Using satellite imagery to understand and promote sustainable development

23 September 2020

Papers citing "Using satellite imagery to understand and promote sustainable development"

22 / 22 papers shown

Title
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation Benidir Yanis Gonthier Nicolas Mallet Clement 57 1 0 19 Mar 2025
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions Michael Sprintson Rama Chellappa Cheng-Fang Peng 28 0 0 23 Sep 2024
Segment Any Change Zhuo Zheng Yanfei Zhong Liangpei Zhang Stefano Ermon VLM 26 12 0 02 Feb 2024
DiffusionSat: A Generative Foundation Model for Satellite Imagery Samar Khanna Patrick Liu Linqi Zhou Chenlin Meng Robin Rombach Marshall Burke David B. Lobell Stefano Ermon 32 58 0 06 Dec 2023
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy Emily L. Aiken Esther Rolf J. Blumenstock 37 6 0 02 May 2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence Gengchen Mai Weiming Huang Jin Sun Suhang Song Deepak Mishra ... Yingjie Hu Chris Cundy Ziyuan Li Rui Zhu Ni Lao AI4CE 35 123 0 13 Apr 2023
Evaluation Challenges for Geospatial ML Esther Rolf ELM 20 10 0 31 Mar 2023
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction Yu Liu Xin Zhang Jingtao Ding Yanxin Xi Yong Li 27 34 0 25 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 46 11 0 30 Jan 2023
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach Ethan Brewer Zhonghui Lv Daniel M. Runfola 21 2 0 23 Jan 2023
Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions Anders Christensen Joel Ferguson Simón Ramírez-Amaya 18 0 0 06 Oct 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery Yezhen Cong Samarth Khanna Chenlin Meng Patrick Liu Erik Rozi Yutong He Marshall Burke David B. Lobell Stefano Ermon ViT 22 252 0 17 Jul 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 36 20 0 13 Jun 2022
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution Yutong He William Zhang Chenlin Meng Marshall Burke David B. Lobell Stefano Ermon 33 2 0 04 Apr 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 27 8 0 02 Mar 2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability R. Qin Tao Liu 34 61 0 07 Feb 2022
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling Chenlin Meng Enci Liu Willie Neiswanger Jiaming Song Marshall Burke David B. Lobell Stefano Ermon 19 20 0 16 Dec 2021
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access Nathan Ratledge Gabriel Cadamuro Brandon de la Cuesta M. Stigler Marshall Burke 9 36 0 07 Sep 2021
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis Yutong He Dingjie Wang Nicholas Lai William Zhang Chenlin Meng Marshall Burke David B. Lobell Stefano Ermon 32 24 0 22 Jun 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 44 3 0 17 Feb 2021
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 95 123 0 16 Oct 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015