2020
DOI: 10.3389/fenvs.2020.00077
|View full text |Cite
|
Sign up to set email alerts
|

Wheat Area Mapping in Afghanistan Based on Optical and SAR Time-Series Images in Google Earth Engine Cloud Environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 30 publications
(9 citation statements)
references
References 45 publications
0
9
0
Order By: Relevance
“…To examine the impact of anthropogenic sources of NO2 on TP, we have analysed the emission inventory Afghanistan while rice, wheat, sugarcane and groundnuts are the major agricultural products of IGP. 65 One of the main sources of NO2 in these regions is open stubble burning. However, during the wheatrice rotation period, biomass burning frequency is very high as observed from the fire count analysis (Figure S2).…”
Section: Air Mass Transport To Tpmentioning
confidence: 99%
“…To examine the impact of anthropogenic sources of NO2 on TP, we have analysed the emission inventory Afghanistan while rice, wheat, sugarcane and groundnuts are the major agricultural products of IGP. 65 One of the main sources of NO2 in these regions is open stubble burning. However, during the wheatrice rotation period, biomass burning frequency is very high as observed from the fire count analysis (Figure S2).…”
Section: Air Mass Transport To Tpmentioning
confidence: 99%
“…Religious organizations can play a critical role in facilitating social insurance (Ager and Ciccone, 2018;Auriol et al, 2020;Chen, 2010; 37 Specifically, we adapt the approach of Asher and Novosad (2020): we subtract out the early growing season value (in December) from the maximum growing season value, which controls for differences in noncrop vegetation. December -April corresponds to the major growing season for most important crops in Afghanistan, including wheat, the country's single most important crop (Tiwari et al, 2020). 38 The opportunity cost of time could also increase during drought, if labor can be used to compensate for lower rainfall.…”
Section: Robustness Checksmentioning
confidence: 99%
“…Here, it has to be noted that poorly sampled and inaccurate sample data from the field results in under fitting and overfitting of the classification model and therefore may result in overestimation or underestimation of the classification results (Liakos et al 2018). The study of Tiwari et al (2020) provides detailed insights into well-known crop-type mapping methods using different sensors and resolutions.…”
Section: Global Rs-based Crop-mapping Techniquesmentioning
confidence: 99%