Replication Data for 'Applying geospatial methods to assess and validate the uptake of fertilizer trees and fodder shrubs in Zambia'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:''Accurately assessing the adoption or uptake of agroforestry, or other natural resource management practices at scale remains a challenge. Conventional survey methods such as structured household (HH) surveys are costly and hence sample sizes are often low, which in turn limits the extent to which one can reliably assess adoption of specific practices. Hence, alternative approaches for data collection are needed to conduct large-scale assessments of adoption.We explored the potential of geospatial methods, and in particular remote sensing, for mapping the distribution of Faidherbia albida in Zambia. More than 200 species of trees were identified during field surveys in late 2016 and from March to May 2017, with almost 90 different tree species occurring in agricultural fields. In other words, many of the farming systems surveyed had ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Agroforestry","Faidherbia albida","Remote sensing","Zambia"]} <|eot_id|>
 Here is the Description of a dataset. Description:''Accurately assessing the adoption or uptake of agroforestry, or other natural resource management practices at scale remains a challenge. Conventional survey methods such as structured household (HH) surveys are costly and hence sample sizes are often low, which in turn limits the extent to which one can reliably assess adoption of specific practices. Hence, alternative approaches for data collection are needed to conduct large-scale assessments of adoption.We explored the potential of geospatial methods, and in particular remote sensing, for mapping the distribution of Faidherbia albida in Zambia. More than 200 species of trees were identified during field surveys in late 2016 and from March to May 2017, with almost 90 different tree species occurring in agricultural fields. In other words, many of the farming systems surveyed had ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
'Accurately assessing the adoption or uptake of agroforestry, or other natural resource management practices at scale remains a challenge. Conventional survey methods such as structured household (HH) surveys are costly and hence sample sizes are often low, which in turn limits the extent to which one can reliably assess adoption of specific practices. Hence, alternative approaches for data collection are needed to conduct large-scale assessments of adoption.We explored the potential of geospatial methods, and in particular remote sensing, for mapping the distribution of Faidherbia albida in Zambia. More than 200 species of trees were identified during field surveys in late 2016 and from March to May 2017, with almost 90 different tree species occurring in agricultural fields. In other words, many of the farming systems surveyed had 
Agroforestry; Faidherbia albida; Remote sensing; Zambia