2011
DOI: 10.1590/s0001-37652011005000024
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of space adequateness of shrimp farms in Southern Brazil

Abstract: In Rio Grande do Sul State, there are four marine shrimp (Litopenaeus vannamei) farms in the municipal districts of São José do Norte and Rio Grande, and other four with previous license for operation. Thus, the present study aimed to identify and characterize areas for marine shrimp farming located in the Southern portion of the Patos Lagoon estuary (32 • 00 S 52 • 00 W) by employing the analysis of satellite remote sensing (Landsat TM and ETM+/Google Earth), airborne remote sensing (35mm system ADAR 1000), t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…Moreover, the Sentinel 2 satellite database cannot accurately predict these farms/ ponds because many of these farms in this study area have a lower area than its spatial resolution (i.e., 10 m × 10 m). Thus, the only way to extract such minute details and quantify the conversion process without spending any money is to use publicly accessible mufti-temporal Google Earth images (Freitas et al 2011 ; Dutta et al 2016 ). To examine this argument and establish the acceptability of the Google Earth images at the very first step comparison of predicting capability between land use land cover map based on Sentinel 2 satellite data (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, the Sentinel 2 satellite database cannot accurately predict these farms/ ponds because many of these farms in this study area have a lower area than its spatial resolution (i.e., 10 m × 10 m). Thus, the only way to extract such minute details and quantify the conversion process without spending any money is to use publicly accessible mufti-temporal Google Earth images (Freitas et al 2011 ; Dutta et al 2016 ). To examine this argument and establish the acceptability of the Google Earth images at the very first step comparison of predicting capability between land use land cover map based on Sentinel 2 satellite data (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, a better survival rate was associated with the lower density group ( Table 3 ). Similarly, Freitas et al [ 37 ] and Otoshi et al [ 20 ] reported that a significantly higher survival rate was obtained at 200 shrimp/m 2 density than 400 shrimps/m 2 density. Reduced survival rate at the higher densities might be due to negative behavioral interactions, for example, cannibalism [ 38 ].…”
Section: Resultsmentioning
confidence: 79%
“…TAN has a positive relationship to rearing density, i.e., the higher the density the higher recorded TAN as nitrogen released from shrimps and uneaten feeds leftover, consequently [ 22 ]. The higher levels of nitrite and ammonia in (300 org./m 2 ) stocking density compared to lower density may be related to the lower values of dissolved oxygen recorded in the high-density group [ 37 ].…”
Section: Resultsmentioning
confidence: 99%
“…The use of satellite images has permitted monitoring and mapping of areas that require attention concerning the natural resource management [52][53][54]. Aerial survey techniques provide a level of details that allow the visualization of the landscape according to its structure and spatial-temporal distribution.…”
Section: Assessment Of Land Cover and Land Usementioning
confidence: 99%