<p>The vertical bars are standard deviations (s. d.). In the abscissa is the remote image timing (T1- early April to T7- early October, approximately one-month intervals); the data are presented as the means, and the vertical bars represent the standard deviation (s.d.) of six parcels of approximately 3 ha each. For each land use, the average data of the images followed by a different letter are significantly different at P≥0.05.</p
1<p>Series of multitemporal images: from V1, early April, to V7, October.</p>2<p>Abbreviations: ORI;...
Vegetation indices computed from remote sensing data became key components of agricultural monitorin...
A procedure to achieve the semi-automatic relative image normalization of multitemporal remote image...
<p>The abscissa is the remote image timing (V1- early April to V7 - early October, interval of appro...
ABSTRACT Remote sensing applications in agriculture are presented as a very promising reality, but r...
<p>A: early April, grain-filling growth stage showing intense green color and therefore high NDVI va...
Panel A represents data on the timing of major change in crop diversity and agricultural area, while...
A global observation capacity is required for agricultural production forecasts and food security al...
The interpretation of spectral information is at the very core of remote sensing data analysis. Howe...
In many applications of the remote sensing, an user is often interested in identifying specific land...
<p>Abscissa and ordinate value is the stratification ratios of each symbol in 0–20:20–40cm and 0–20:...
Early crop yield estimation is extremely relevant to assist on management decisions and to plan harv...
<p>The asterisk above the vertical bars indicates a significant difference between cropland and popl...
<p>Vertical bars represent means ± standard deviations (n = 10). Lower-case letters indicate signifi...
<p>Vertical bars are the standard deviations of the means. *<i>P</i><0.05; **<i>P</i><0.01.</p
1<p>Series of multitemporal images: from V1, early April, to V7, October.</p>2<p>Abbreviations: ORI;...
Vegetation indices computed from remote sensing data became key components of agricultural monitorin...
A procedure to achieve the semi-automatic relative image normalization of multitemporal remote image...
<p>The abscissa is the remote image timing (V1- early April to V7 - early October, interval of appro...
ABSTRACT Remote sensing applications in agriculture are presented as a very promising reality, but r...
<p>A: early April, grain-filling growth stage showing intense green color and therefore high NDVI va...
Panel A represents data on the timing of major change in crop diversity and agricultural area, while...
A global observation capacity is required for agricultural production forecasts and food security al...
The interpretation of spectral information is at the very core of remote sensing data analysis. Howe...
In many applications of the remote sensing, an user is often interested in identifying specific land...
<p>Abscissa and ordinate value is the stratification ratios of each symbol in 0–20:20–40cm and 0–20:...
Early crop yield estimation is extremely relevant to assist on management decisions and to plan harv...
<p>The asterisk above the vertical bars indicates a significant difference between cropland and popl...
<p>Vertical bars represent means ± standard deviations (n = 10). Lower-case letters indicate signifi...
<p>Vertical bars are the standard deviations of the means. *<i>P</i><0.05; **<i>P</i><0.01.</p
1<p>Series of multitemporal images: from V1, early April, to V7, October.</p>2<p>Abbreviations: ORI;...
Vegetation indices computed from remote sensing data became key components of agricultural monitorin...
A procedure to achieve the semi-automatic relative image normalization of multitemporal remote image...