Challenges and progress in applying space technology in support of the sustainable development goals
D Wood, M Rathnasabapathy, KJ Stober, P Menon - Acta Astronautica, 2024 - Elsevier
The global community, with coordination from the United Nations, is energized to pursue the
Sustainable Development Goals (SDGs), a list of 17 important aspirations that summarize …
Sustainable Development Goals (SDGs), a list of 17 important aspirations that summarize …
Lightweight, pre-trained transformers for remote sensing timeseries
Machine learning methods for satellite data have a range of societally relevant applications,
but labels used to train models can be difficult or impossible to acquire. Self-supervision is a …
but labels used to train models can be difficult or impossible to acquire. Self-supervision is a …
How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
Satellite Earth observations (EO) can provide affordable and timely information for assessing
crop conditions and food production. Such monitoring systems are essential in Africa, where …
crop conditions and food production. Such monitoring systems are essential in Africa, where …
Mission Critical--Satellite Data is a Distinct Modality in Machine Learning
Satellite data has the potential to inspire a seismic shift for machine learning--one in which
we rethink existing practices designed for traditional data modalities. As machine learning …
we rethink existing practices designed for traditional data modalities. As machine learning …
[HTML][HTML] Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions
Satellite-based field delineation has entered a quasi-operational stage due to recent
advances in machine learning for computer vision. Transfer learning allows for the resource …
advances in machine learning for computer vision. Transfer learning allows for the resource …
Adopting yield-improving practices to meet maize demand in Sub-Saharan Africa without cropland expansion
F Aramburu-Merlos, FAM Tenorio… - Nature …, 2024 - nature.com
Abstract Maize demand in Sub-Saharan Africa is expected to increase 2.3 times during the
next 30 years driven by demographic and dietary changes. Over the past two decades, the …
next 30 years driven by demographic and dietary changes. Over the past two decades, the …
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
In this white paper, we synthesize key points made during presentations and discussions
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …
USat: A unified self-supervised encoder for multi-sensor satellite imagery
Large, self-supervised vision models have led to substantial advancements for automatically
interpreting natural images. Recent works have begun tailoring these methods to remote …
interpreting natural images. Recent works have begun tailoring these methods to remote …
New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform
The Anomaly hotSpots of Agricultural Production (ASAP) Decision Support System was
launched operationally in 2017 for providing timely early warning information on agricultural …
launched operationally in 2017 for providing timely early warning information on agricultural …
[HTML][HTML] Can we estimate farm size from field size? An empirical investigation of the field size to farm size relationship
CONTEXT Farm size is a key indicator associated with environmental, economic, and social
contexts and outcomes of agriculture. Farm size data is typically obtained from agricultural …
contexts and outcomes of agriculture. Farm size data is typically obtained from agricultural …